3863 Repositories
Python Fake-news-detection-Data-Mining Libraries
Pretraining Representations For Data-Efficient Reinforcement Learning
Pretraining Representations For Data-Efficient Reinforcement Learning Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Ch
Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows Official implementation of the paper DeFlow: Learning Complex Im
An intelligent, flexible grammar of machine learning.
An english representation of machine learning. Modify what you want, let us handle the rest. Overview Nylon is a python library that lets you customiz
Senginta is All in one Search Engine Scrapper for used by API or Python Module. It's Free!
Senginta is All in one Search Engine Scrapper. With traditional scrapping, Senginta can be powerful to get result from any Search Engine, and convert to Json. Now support only for Google Product Search Engine (GShop, GVideo and many too) and Baidu Search Engine.
An tiny CLI to load data from a JSON File during development.
JSON Server - An tiny CLI to load data from a JSON File during development.
flexible time-series processing & feature extraction
tsflex is a toolkit for flexible time-series processing & feature extraction, making few assumptions about input data. Useful links Documentation Exam
LifeSaver automatically, periodically saves USB flash drive data into the PC
LifeSaver automatically, periodically saves USB flash drive data into the PC. Theoriticaly it will work with any any connected drive ex - Hard Disk ,SSD ... But, can't handle Backing up multipatition drives. I can guess, but cannot be sure of, how it will react to multipartiton system.
Save data from Instagram takeout to a SQLite database
instagram-to-sqlite Save data from a Instagram takeout to a SQLite database. Mise En Place git clone https://github.com/gavindsouza/instagram-to-sqlit
Patch Rotation: A Self-Supervised Auxiliary Task for Robustness and Accuracy of Supervised Models
Patch-Rotation(PatchRot) Patch Rotation: A Self-Supervised Auxiliary Task for Robustness and Accuracy of Supervised Models Submitted to Neurips2021 To
Receive notifications/alerts on the most recent disclosed CVE's.
Receive notifications on the most recent disclosed CVE's.
List of short Codeforces problems with a statement of 1000 characters or less. Python script and data files included.
Shortest problems on Codeforces List of Codeforces problems with a short problem statement of 1000 characters or less. Sorted for each rating level. B
fds is a tool for Data Scientists made by DAGsHub to version control data and code at once.
Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc
Performance data for WASM SIMD instructions.
WASM SIMD Data This repository contains code and data which can be used to generate a JSON file containing information about the WASM SIMD proposal. F
A collection of modules I have created to programmatically search for/download imagery from live cam feeds across the state of California.
A collection of modules that I have created to programmatically search for/download imagery from all publicly available live cam feeds across the state of California. In no way am I affiliated with any of these organizations and these modules/methods of gathering imagery are completely unofficial.
Demo project for real time anomaly detection using kafka and python
kafkaml-anomaly-detection Project for real time anomaly detection using kafka and python It's assumed that zookeeper and kafka are running in the loca
A tool for the creation of rooms used in maps in the game Wastelands
Wastelands Room Data editor A tool for the creation of rooms used in maps in the game Wastelands Creates .wrd files, that get loaded by the map genera
๐งช Panel-Chemistry - exploratory data analysis and build powerful data and viz tools within the domain of Chemistry using Python and HoloViz Panel.
๐งช๐ ๐. The purpose of the panel-chemistry project is to make it really easy for you to do DATA ANALYSIS and build powerful DATA AND VIZ APPLICATIONS within the domain of Chemistry using using Python and HoloViz Panel.
Tutorial to set up TensorFlow Object Detection API on the Raspberry Pi
A tutorial showing how to set up TensorFlow's Object Detection API on the Raspberry Pi
Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis.
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
This websocket program is for data transmission between server and client. Data transmission is for Federated Learning in Edge computing environment.
websocket-for-data-transmission This websocket program is for data transmission between server and client. Data transmission is for Federated Learning
SANet: A Slice-Aware Network for Pulmonary Nodule Detection
SANet: A Slice-Aware Network for Pulmonary Nodule Detection This paper (SANet) has been accepted and early accessed in IEEE TPAMI 2021. This code and
[ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable
Unlearnable Examples Code for ICLR2021 Spotlight Paper "Unlearnable Examples: Making Personal Data Unexploitable " by Hanxun Huang, Xingjun Ma, Sarah
A gesture recognition system powered by OpenPose, k-nearest neighbours, and local outlier factor.
OpenHands OpenHands is a gesture recognition system powered by OpenPose, k-nearest neighbours, and local outlier factor. Currently the system can iden
๋ด์ค ๋๋ฉ์ธ ์ง์์๋ต ์์คํ (21-1ํ๊ธฐ ์กธ์ ํ๋ก์ ํธ)
๋ด์ค ๋๋ฉ์ธ ์ง์์๋ต ์์คํ ๋ณธ ํ๋ก์ ํธ๋ ๋ด์ค๊ธฐ์ฌ์ ๋ํ ์ง์์๋ต ์๋น์ค ๋ฅผ ์ ๊ณตํ๊ธฐ ์ํด์ ์งํํ ํ๋ก์ ํธ์ ๋๋ค. ์ฝ 3๊ฐ์๊ฐ ( 21. 03 ~ 21. 05 ) ์งํํ์์ผ๋ฉฐ Transformer ์ํคํ ์ณ ๊ธฐ๋ฐ์ Encoder๋ฅผ ์ฌ์ฉํ์ฌ ํ๊ตญ์ด ์ง์์๋ต ๋ฐ์ดํฐ์ ์ผ๋ก
AugLy is a data augmentations library that currently supports four modalities (audio, image, text & video) and over 100 augmentations
AugLy is a data augmentations library that currently supports four modalities (audio, image, text & video) and over 100 augmentations. Each modalityโs augmentations are contained within its own sub-library. These sub-libraries include both function-based and class-based transforms, composition operators, and have the option to provide metadata about the transform applied, including its intensity.
Code for Towards Streaming Perception (ECCV 2020) :car:
sAP โ Code for Towards Streaming Perception ECCV Best Paper Honorable Mention Award Feb 2021: Announcing the Streaming Perception Challenge (CVPR 2021
The coda and data for "Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach" (ACL '21)
We propose a hierarchical core-fringe learning framework to measure fine-grained domain relevance of terms โ the degree that a term is relevant to a broad (e.g., computer science) or narrow (e.g., deep learning) domain.
A data-driven maritime port simulator
PySeidon - A Data-Driven Maritime Port Simulator ๐ Extendable and modular software for maritime port simulation. This software uses entity-component
The (Python-based) mining software required for the Nintendo Switch mining project.
ntgbtminer - Nintendo Switch edition This is a version of ntgbtminer that works with the Nintendo Switch bitcoin miner. ntgbtminer ntgbtminer is a no
IMGUR5K handwriting set. It is a handwritten in-the-wild dataset, which contains challenging real world handwritten samples from different writers.The dataset is shared as a set of image urls with annotations. This code downloads the images and verifies the hash to the image to avoid data contamination.
IMGUR5K Handwriting Dataset To run the code for downloading the urls and generate corresponding annotations : Usage: python download_imgur5k.py --data
resultados (data) de elecciones 2021 y cรณdigo para extraer data de la ONPE
elecciones-peru-2021-ONPE Resultados (data) de elecciones 2021 y cรณdigo para extraer data de la ONPE Data Licencia liberal, pero si vas a usarlo por f
Source code and data from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits" by W. Bendada, G. Salha and T. Bontempelli
Carousel Personalization in Music Streaming Apps with Contextual Bandits - RecSys 2020 This repository provides Python code and data to reproduce expe
LaneAF: Robust Multi-Lane Detection with Affinity Fields
LaneAF: Robust Multi-Lane Detection with Affinity Fields This repository contains Pytorch code for training and testing LaneAF lane detection models i
Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))
Aerial Imagery dataset for fire detection: classification and segmentation using Unmanned Aerial Vehicle (UAV) Title FLAME (Fire Luminosity Airborne-b
Code and data for the paper "Hearing What You Cannot See"
Hearing What You Cannot See: Acoustic Vehicle Detection Around Corners Public repository of the paper "Hearing What You Cannot See: Acoustic Vehicle D
Vent domain information retrieval tool, which is capable of retrieving customer information
Vent domain information retrieval tool, which is capable of retrieving customer information. This tool has been created for the purpose of complete education, Iam not responsible for any illegal activities.
Provide Prometheus url_sd compatible API Endpoint with data from Netbox
netbox-plugin-prometheus-sd Provide Prometheus http_sd compatible API Endpoint with data from Netbox. HTTP SD is a new feature in Prometheus and not a
This bot will delete messages containing blacklisted words in your telegram groups.
Profanity Detector Bot This bot will delete messages containing blacklisted words in your telegram groups. Made using ProfanityDetector.
The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
This repository is the official PyTorch implementation of SAINT. Find the paper on arxiv SAINT: Improved Neural Networks for Tabular Data via Row Atte
Source codes of CenterTrack++ in 2021 ICME Workshop on Big Surveillance Data Processing and Analysis
MOT Tracked object bounding box association (CenterTrack++) New association method based on CenterTrack. Two new branches (Tracked Size and IOU) are a
Vehicle Identification Speed Detection (VISD) extracts vehicle information like License Plate number, Manufacturer and colour from a video and provides this data in the form of a CSV file
Vehicle Identification Speed Detection (VISD) extracts vehicle information like License Plate number, Manufacturer and colour from a video and provides this data in the form of a CSV file. VISD can also perform vehicle speed detection on a video. All these features of VSID are provided to the user using a Web Application which is created using Flask
Code and data of the ACL 2021 paper: Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision
MetaAdaptRank This repository provides the implementation of meta-learning to reweight synthetic weak supervision data described in the paper Few-Shot
deployment of a hybrid model for automatic weapon detection/ anomaly detection for surveillance applications
Automatic Weapon Detection Deployment of a hybrid model for automatic weapon detection/ anomaly detection for surveillance applications. Loved the pro
State-of-the-art data augmentation search algorithms in PyTorch
MuarAugment Description MuarAugment is a package providing the easiest way to a state-of-the-art data augmentation pipeline. How to use You can instal
This is django-import-export module that exports data into many formats
django-import-export This is django-import-export module which exports data into many formats, you can implement this in your admin panel. - Dehydrat
InsightFace: 2D and 3D Face Analysis Project on MXNet and PyTorch
InsightFace: 2D and 3D Face Analysis Project on MXNet and PyTorch
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow. YOLOv4 is a state of the art algorithm that uses deep convolutional neural networks to perform object detections. We can take the output of YOLOv4 feed these object detections into Deep SORT (Simple Online and Realtime Tracking with a Deep Association Metric) in order to create a highly accurate object tracker.
ESP32 python application to read data from a Tiltโข Hydrometer for homebrewing
TitlESP32 ESP32 MicroPython application to read and log data from a Tiltโข Hydrometer. Requirements A board with an ESP32 chip USB cable - USB A / micr
LinkedIn connections analyzer
LinkedIn Connections Analyzer ๐ https://linkedin-analzyer.herokuapp.com Hey hey ๐ , welcome to my LinkedIn connections analyzer. I recently found ou
a BTC mining program based on python3
BTC-Miner a BTC mining program based on python3 Our project refers to the nightminer project by ricmoo, which is written in Python2 (https://github.co
Intruder detection systems are common place now, and readily available in industry, but how do they work? They must detect people and large animals, but not generate false alarms in the presence of small animals, changes in lighting, environmental motion such as trees, or melting snow. To work correctly, the system must learn the background, in order to differentiate foreground objects.
Intruder-Detection Intruder detection systems are common place now, and readily available in industry, but how do they work? They must detect people a
Just a script for detecting the lanes in any car game (not just gta 5) with specific resolution and road design ( very basic and limited )
GTA-5-Lane-detection Just a script for detecting the lanes in any car game (not just gta 5) with specific resolution and road design ( very basic and
Corset is a web-based data selection portal that helps you getting relevant data from massive amounts of parallel data.
Corset is a web-based data selection portal that helps you getting relevant data from massive amounts of parallel data. So, if you don't need the whole corpus, but just a suitable subset (indeed, a cor(pus sub)set, this is what Corset will do for you--and the reason of the name of the tool.
Semantic-based Patch Detection for Binary Programs
PMatch Semantic-based Patch Detection for Binary Programs Requirement tensorflow-gpu 1.13.1 numpy 1.16.2 scikit-learn 0.20.3 ssdeep 3.4 Usage tar -xvz
A Curated Collection of Awesome Python Scripts
A Curated Collection of Awesome Python Scripts that will make you go wow. This repository will help you in getting those green squares. Hop in and enjoy the journey of open source. ๐
Streamlit component for Let's-Plot visualization library
streamlit-letsplot This is a work-in-progress, providing a convenience function to plot charts from the Lets-Plot visualization library. Example usage
The BCNet related data and inference model.
BCNet This repository includes the some source code and related dataset of paper BCNet: Learning Body and Cloth Shape from A Single Image, ECCV 2020,
Codebase for the Summary Loop paper at ACL2020
Summary Loop This repository contains the code for ACL2020 paper: The Summary Loop: Learning to Write Abstractive Summaries Without Examples. Training
A framework for analyzing computer vision models with simulated data
3DB: A framework for analyzing computer vision models with simulated data Paper Quickstart guide Blog post Installation Follow instructions on: https:
This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"
Fisher Information Loss This repository contains code that can be used to reproduce the experimental results presented in the paper: Awni Hannun, Chua
This package is for running the semantic SLAM algorithm using extracted planar surfaces from the received detection
Semantic SLAM This package can perform optimization of pose estimated from VO/VIO methods which tend to drift over time. It uses planar surfaces extra
Training data extraction on GPT-2
Training data extraction from GPT-2 This repository contains code for extracting training data from GPT-2, following the approach outlined in the foll
This is the official Pytorch implementation of "Lung Segmentation from Chest X-rays using Variational Data Imputation", Raghavendra Selvan et al. 2020
README This is the official Pytorch implementation of "Lung Segmentation from Chest X-rays using Variational Data Imputation", Raghavendra Selvan et a
Official PyTorch implementation of "Adversarial Reciprocal Points Learning for Open Set Recognition"
Adversarial Reciprocal Points Learning for Open Set Recognition Official PyTorch implementation of "Adversarial Reciprocal Points Learning for Open Se
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection This repository contains implementation of the
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
Delving into Deep Imbalanced Regression This repository contains the implementation code for paper: Delving into Deep Imbalanced Regression Yuzhe Yang
Learn Blockchains by Building One, A simple Blockchain in Python using Flask as a micro web framework.
Blockchain โจ Learn Blockchains by Building One Yourself Installation Make sure Python 3.6+ is installed. Install Flask Web Framework. Clone this repos
This little tool is to calculate a MurmurHash value of a favicon to hunt phishing websites on the Shodan platform.
MurMurHash This little tool is to calculate a MurmurHash value of a favicon to hunt phishing websites on the Shodan platform. What is MurMurHash? Murm
Efficient Lottery Ticket Finding: Less Data is More
The lottery ticket hypothesis (LTH) reveals the existence of winning tickets (sparse but critical subnetworks) for dense networks, that can be trained in isolation from random initialization to match the latterโs accuracies.
Pytorch implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection"
M-LSD: Towards Light-weight and Real-time Line Segment Detection Pytorch implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Det
Detection of drones using their thermal signatures from thermal camera through YOLO-V3 based CNN with modifications to encapsulate drone motion
Drone Detection using Thermal Signature This repository highlights the work for night-time drone detection using a using an Optris PI Lightweight ther
Simple Python application to transform Serial data into OSC messages
SerialToOSC-Bridge Simple Python application to transform Serial data into OSC messages. The current purpose is to be a compatibility layer between ha
Python implementation of the Density Line Chart by Moritz & Fisher.
PyDLC - Density Line Charts with Python Python implementation of the Density Line Chart (Moritz & Fisher, 2018) to visualize large collections of time
Boosted neural network for tabular data
XBNet - Xtremely Boosted Network Boosted neural network for tabular data XBNet is an open source project which is built with PyTorch which tries to co
Official repository for HOTR: End-to-End Human-Object Interaction Detection with Transformers (CVPR'21, Oral Presentation)
Official PyTorch Implementation for HOTR: End-to-End Human-Object Interaction Detection with Transformers (CVPR'2021, Oral Presentation) HOTR: End-to-
Repository for the COLING 2020 paper "Explainable Automated Fact-Checking: A Survey."
Explainable Fact Checking: A Survey This repository and the accompanying webpage contain resources for the paper "Explainable Fact Checking: A Survey"
code for our paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
SHOT++ Code for our TPAMI submission "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer" that is ext
This is the research repository for Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition.
Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition This is the research repository for Vid2
You Only ๐ One Sequence
You Only ๐ One Sequence TL;DR: We study the transferability of the vanilla ViT pre-trained on mid-sized ImageNet-1k to the more challenging COCO obje
Official Tensorflow implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection"
M-LSD: Towards Light-weight and Real-time Line Segment Detection Official Tensorflow implementation of "M-LSD: Towards Light-weight and Real-time Line
A standalone package to scrape financial data from listed Vietnamese companies via Vietstock
Scrape Financial Data of Vietnamese Listed Companies - Version 2 A standalone package to scrape financial data from listed Vietnamese companies via Vi
The toolkit to generate auto labeled datasets
Ozeu Ozeu is the toolkit to autolabal dataset for instance segmentation. You can generate datasets labaled with segmentation mask and bounding box fro
Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
Gotta Go Fast When Generating Data with Score-Based Models This repo contains the official implementation for the paper Gotta Go Fast When Generating
This is the code for our paper DAAIN: Detection of Anomalous and AdversarialInput using Normalizing Flows
Merantix-Labs: DAAIN This is the code for our paper DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows which can be found at
SparseML is a libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
SparseML is a toolkit that includes APIs, CLIs, scripts and libraries that apply state-of-the-art sparsification algorithms such as pruning and quantization to any neural network. General, recipe-driven approaches built around these algorithms enable the simplification of creating faster and smaller models for the ML performance community at large.
People movement type classifier with YOLOv4 detection and SORT tracking.
Movement classification The goal of this project would be movement classification of people, in other words, walking (normal and fast) and running. Yo
Implementation of paper "DeepTag: A General Framework for Fiducial Marker Design and Detection"
Implementation of paper DeepTag: A General Framework for Fiducial Marker Design and Detection. Project page: https://herohuyongtao.github.io/research/
A PyTorch implementation of EfficientDet.
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
Code for "FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection", ICRA 2021
FGR This repository contains the python implementation for paper "FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection"(I
PED: DETR for Crowd Pedestrian Detection
PED: DETR for Crowd Pedestrian Detection Code for PED: DETR For (Crowd) Pedestrian Detection Paper PED: DETR for Crowd Pedestrian Detection Installati
This project provides an unsupervised framework for mining and tagging quality phrases on text corpora with pretrained language models (KDD'21).
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging To appear on KDD'21...[pdf] This project provides an unsupervised framework for mining and
A tight inclusion function for continuous collision detection
Tight-Inclusion Continuous Collision Detection A conservative Continuous Collision Detection (CCD) method with support for minimum separation. You can
This repo contains the code and data used in the paper "Wizard of Search Engine: Access to Information Through Conversations with Search Engines"
Wizard of Search Engine: Access to Information Through Conversations with Search Engines by Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zh
Lumen provides a framework for visual analytics, which allows users to build data-driven dashboards from a simple yaml specification
Lumen project provides a framework for visual analytics, which allows users to build data-driven dashboards from a simple yaml specification
Home Assistant for Opendata CWB. Get the weather forecast of the city in Taiwan.
Home assistant support for Opendata CWB. The readme in Traditional Chinese. This integration is based on OpenWeatherMap (@csparpa, pyowm) to develop.
Run object detection model on the Raspberry Pi
Using TensorFlow Lite with Python is great for embedded devices based on Linux, such as Raspberry Pi.
Code for PED: DETR For (Crowd) Pedestrian Detection
Code for PED: DETR For (Crowd) Pedestrian Detection
A New, Interactive Approach to Learning Python
This is the repository for The Python Workshop, published by Packt. It contains all the supporting project files necessary to work through the course from start to finish.
FairMOT - A simple baseline for one-shot multi-object tracking
FairMOT - A simple baseline for one-shot multi-object tracking
Keras-1D-ACGAN-Data-Augmentation
Keras-1D-ACGAN-Data-Augmentation What is the ACGAN(Auxiliary Classifier GANs) ? Related Paper : [Abstract : Synthesizing high resolution photorealisti