8691 Repositories
Python connected-and-automated-vehicles Libraries
Script that provides your TESLA access_token and refresh_token
TESLA tokens This script helps you get your TESLA access_token and refresh_token in order to connect to third party applications (Teslamate, TeslaFi,
It's an application to calculate I from v and r. It can also plot a graph between V vs I.
Ohm-s-Law-Visualizer It's an application to calculate I from v and r using Ohm's Law. It can also plot a graph between V vs I. Story I'm doing my Unde
Implementing Graph Convolutional Networks and Information Retrieval Mechanisms using pure Python and NumPy
Implementing Graph Convolutional Networks and Information Retrieval Mechanisms using pure Python and NumPy
You Can download any video/image in all social medias very easy and High Speed.
All-Downloader You Can download any video/image in all social medias very easy and High Speed. also you can easily download videos from web browsers s
Track testrail productivity in automated reporting to multiple teams
django_web_app_for_testrail testrail is a test case management tool which helps any organization to track all consumption and testing of manual and au
Dotfiles and some scripts for NeoMutt
Mutt dotfiles Robust Mutt configs with examples for the following account types: Generic IMAP/SMTP Google (Gmail/Gsuite etc) via IMAP/SMTP Microsoft O
generate-2D-quadrilateral-mesh-with-neural-networks-and-tree-search
generate-2D-quadrilateral-mesh-with-neural-networks-and-tree-search This repository contains single-threaded TreeMesh code. I'm Hua Tong, a senior stu
Code and real data for the paper "Counterfactual Temporal Point Processes", available at arXiv.
counterfactual-tpp This is a repository containing code and real data for the paper Counterfactual Temporal Point Processes. Pre-requisites This code
Implementation of the paper titled "Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees"
Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees Implementation of the paper titled "Using Sampling to
Official repository for the paper "GN-Transformer: Fusing AST and Source Code information in Graph Networks".
GN-Transformer AST This is the official repository for the paper "GN-Transformer: Fusing AST and Source Code information in Graph Networks". Data Prep
Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"
corn-ordinal-neuralnet This repository contains the orginal model code and experiment logs for the paper "Deep Neural Networks for Rank Consistent Ord
A deep learning object detector framework written in Python for supporting Land Search and Rescue Missions.
AIR: Aerial Inspection RetinaNet for supporting Land Search and Rescue Missions AIR is a deep learning based object detection solution to automate the
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
English | 简体中文 Latest News 2021.10.25 Paper "Docking-based Virtual Screening with Multi-Task Learning" is accepted by BIBM 2021. 2021.07.29 PaddleHeli
A robust camera and Lidar fusion based velocity estimator to undistort the pointcloud.
Lidar with Velocity A robust camera and Lidar fusion based velocity estimator to undistort the pointcloud. related paper: Lidar with Velocity : Motion
Official repository for "Restormer: Efficient Transformer for High-Resolution Image Restoration". SOTA results for single-image motion deblurring, image deraining, image denoising (synthetic and real data), and dual-pixel defocus deblurring.
Restormer: Efficient Transformer for High-Resolution Image Restoration Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan,
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning (ECCV 2020 Oral and TRO)
Visual Interestingness Refer to the project description for more details. This code based on the following paper. Chen Wang, Yuheng Qiu, Wenshan Wang,
This is the repository for our paper SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking
SimpleTrack This is the repository for our paper SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking. We are still working on writing t
Extracting frames from video and create video using frames
Extracting frames from video and create video using frames This program uses opencv library to extract the frames from video and create video from ext
Often discord bots just die, and we hardly find one that is durable
Muitas vezes bots do discord simplesmente morrem, e dificilmente achamos um que seja durável. Então porque não ter um próprio para emergências? Como c
The learning agent learns firstly approaching to the football and then kicking the football to the target position
Football Court This project utilized Pytorch and Tensorflow so that the learning agent learns firstly approaching to the football and then kicking the
Like htop (CPU and memory usage), but for your case LEDs. 😄
Like htop (CPU and memory usage), but for your case LEDs. 😄
A multi-platform GUI for bit-based analysis, processing, and visualization
A multi-platform GUI for bit-based analysis, processing, and visualization
This library is an ongoing effort towards bringing the data exchanging ability between Java/Scala and Python
PyJava This library is an ongoing effort towards bringing the data exchanging ability between Java/Scala and Python
AWS EC2 S3 Automated With python
AWS_EC2_S3_Automated Description This programme is a Python3 script that utilizes Boto3 to automate the process of creating an AWS EC2 instance with a
Basic code and description for GoBigger challenge 2021.
GoBigger Challenge 2021 en / 中文 Challenge Description 2021.11.13 We are holding a competition —— Go-Bigger: Multi-Agent Decision Intelligence Challeng
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes".
CoAtNet Overview This is a PyTorch implementation of CoAtNet specified in "CoAtNet: Marrying Convolution and Attention for All Data Sizes", arXiv 2021
Human annotated noisy labels for CIFAR-10 and CIFAR-100.
Dataloader for CIFAR-N CIFAR-10N noise_label = torch.load('./data/CIFAR-10_human.pt') clean_label = noise_label['clean_label'] worst_label = noise_lab
Hera is a Python framework for constructing and submitting Argo Workflows.
Hera is an Argo Workflows Python SDK. Hera aims to make workflow construction and submission easy and accessible to everyone! Hera abstracts away workflow setup details while still maintaining a consistent vocabulary with Argo Workflows.
Modern API wrapper for Genshin Impact built on asyncio and pydantic.
genshin.py Modern API wrapper for Genshin Impact built on asyncio and pydantic.
The codes and related files to reproduce the results for Image Similarity Challenge Track 1.
ISC-Track1-Submission The codes and related files to reproduce the results for Image Similarity Challenge Track 1. Required dependencies To begin with
Your one and only Discord Bot that helps you concentrate!
Your one and only Discord Bot thats helps you concentrate! Consider leaving a ⭐ if you found the project helpful. concy-bot A bot which constructively
QED-C: The Quantum Economic Development Consortium provides these computer programs and software for use in the fields of quantum science and engineering.
Application-Oriented Performance Benchmarks for Quantum Computing This repository contains a collection of prototypical application- or algorithm-cent
Ingeniamotion is a library that works over ingenialink and aims to simplify the interaction with Ingenia's drives.
Ingeniamotion Ingeniamotion is a library that works over ingenialink and aims to simplify the interaction with Ingenia's drives. Requirements Python 3
A small and fun Discord Bot that is written in Python and discord-interactions (with discord.py)
Articuno (discord-interactions) A small and fun Discord Bot that is written in Python and discord-interactions (with discord.py) Get started If you wa
A program that takes in the hand gesture displayed by the user and translates ASL.
Interactive-ASL-Recognition Using the framework mediapipe made by google, OpenCV library and through self teaching, I was able to create a program tha
Simulation code and tutorial for BBHnet training data
Simulation Dataset for BBHnet NOTE: OLD README, UPDATE IN PROGRESS We generate simulation dataset to train BBHnet, our deep learning framework for det
Ready to use and customizable Authentications and Authorisation management for FastAPI ⚡
AuthenticationX 💫 Ready-to-use and customizable Authentications and Oauth2 management for FastAPI ⚡
Libraries, tools and tasks created and used at DeepMind Robotics.
dm_robotics: Libraries, tools, and tasks created and used for Robotics research at DeepMind. Package overview Package Summary Transformations Rigid bo
Official source for spanish Language Models and resources made @ BSC-TEMU within the "Plan de las Tecnologías del Lenguaje" (Plan-TL).
Spanish Language Models 💃🏻 A repository part of the MarIA project. Corpora 📃 Corpora Number of documents Number of tokens Size (GB) BNE 201,080,084
This is a project based on retinaface face detection, including ghostnet and mobilenetv3
English | 简体中文 RetinaFace in PyTorch Chinese detailed blog:https://zhuanlan.zhihu.com/p/379730820 Face recognition with masks is still robust---------
Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
DD3D: "Is Pseudo-Lidar needed for Monocular 3D Object detection?" Install // Datasets // Experiments // Models // License // Reference Full video Offi
A FORKED AND Modded version of TL:GD for 🅱️3R0K🧲support
for support join here working example group Leech Here For Any Issues/Imrovements or Discussions go here or here Please Leave A star And Fork this Rep
[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )
GNeRF This repository contains official code for the ICCV 2021 paper: GNeRF: GAN-based Neural Radiance Field without Posed Camera. This implementation
Greenery - tools for parsing and manipulating regular expressions
Greenery - tools for parsing and manipulating regular expressions
Psgcompiler A PySimpleGUI Application - Transform your Python programs in Windows, Mac, and Linux binary executables
psgcompiler A PySimpleGUI Application "Compile" your Python programs into an EXE for Windows, an APP for Mac, and a binary for Linux Installation Old-
Codes for the collection and predictive processing of bitcoin from the API of coinmarketcap
Codes for the collection and predictive processing of bitcoin from the API of coinmarketcap
Python based Telegram bot. Search and download YouTube video or audio.
Python-Telegram-Youtube-Media-Bot Python based Telegram bot. Search and download YouTube video or audio. Just change settings.py and start TelegramBot
A* (with 2 heuristic functions), BFS , DFS and DFS iterativeA* (with 2 heuristic functions), BFS , DFS and DFS iterative
Descpritpion This project solves the Taquin game (jeu de taquin) problem using different algorithms : A* (with 2 heuristic functions), BFS , DFS and D
Clip Bing Maps backgound as RGB geotif image using center-point from vector data of a shapefile and Bing Maps zoom
Clip Bing Maps backgound as RGB geotif image using center-point from vector data of a shapefile and Bing Maps zoom. Also, rasterize shapefile vectors as corresponding label image.
AgeGuesser: deep learning based age estimation system. Powered by EfficientNet and Yolov5
AgeGuesser AgeGuesser is an end-to-end, deep-learning based Age Estimation system, presented at the CAIP 2021 conference. You can find the related pap
Source for the Fedora Silverblue and Kinoite variants.
Source for the Fedora Silverblue and Kinoite variants.
Configure request params such as text, color, size etc. And then download the image
Configure request params such as text, color, size etc. And then download the image
Editor and Presenter for Manim Generated Content.
Editor and Presenter for Manim Generated Content. Take a look at the Working Example. More information can be found on the documentation. These Browse
Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"
Language Generation with Recurrent Generative Adversarial Networks without Pre-training Code for training and evaluation of the model from "Language G
MoCoGAN: Decomposing Motion and Content for Video Generation
MoCoGAN: Decomposing Motion and Content for Video Generation This repository contains an implementation and further details of MoCoGAN: Decomposing Mo
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data By Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, W
Create images and texts with the First Order Generative Adversarial Networks
First Order Divergence for training GANs This repository contains code accompanying the paper First Order Generative Advesarial Netoworks The majority
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
Exposure: A White-Box Photo Post-Processing Framework ACM Transactions on Graphics (presented at SIGGRAPH 2018) Yuanming Hu1,2, Hao He1,2, Chenxi Xu1,
A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".
Improved Adversarial Systems for 3D Object Generation and Reconstruction: This is a repository for the paper "Improved Adversarial Systems for 3D Obje
How to Train a GAN? Tips and tricks to make GANs work
(this list is no longer maintained, and I am not sure how relevant it is in 2020) How to Train a GAN? Tips and tricks to make GANs work While research
Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics
Location-Aware Generative Adversarial Networks (LAGAN) for Physics Synthesis This repository contains all the code used in L. de Oliveira (@lukedeo),
TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"
Simulated+Unsupervised (S+U) Learning in TensorFlow TensorFlow implementation of Learning from Simulated and Unsupervised Images through Adversarial T
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation — Official TensorFlow implementation of the ICLR 2018 paper Tero Karras (NV
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
cppn-gan-vae tensorflow Train Compositional Pattern Producing Network as a Generative Model, using Generative Adversarial Networks and Variational Aut
Code and data for paper "Deep Photo Style Transfer"
deep-photo-styletransfer Code and data for paper "Deep Photo Style Transfer" Disclaimer This software is published for academic and non-commercial use
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
CycleGAN PyTorch | project page | paper Torch implementation for learning an image-to-image translation (i.e. pix2pix) without input-output pairs, for
Learning What and Where to Draw
###Learning What and Where to Draw Scott Reed, Zeynep Akata, Santosh Mohan, Samuel Tenka, Bernt Schiele, Honglak Lee This is the code for our NIPS 201
GAN example for Keras. Cuz MNIST is too small and there should be something more realistic.
Keras-GAN-Animeface-Character GAN example for Keras. Cuz MNIST is too small and there should an example on something more realistic. Some results Trai
Code and hyperparameters for the paper "Generative Adversarial Networks"
Generative Adversarial Networks This repository contains the code and hyperparameters for the paper: "Generative Adversarial Networks." Ian J. Goodfel
A data preprocessing and feature engineering script for a machine learning pipeline is prepared.
FEATURE ENGINEERING Business Problem: A data preprocessing and feature engineering script for a machine learning pipeline needs to be prepared. It is
Required for a machine learning pipeline data preprocessing and variable engineering script needs to be prepared
Feature-Engineering Required for a machine learning pipeline data preprocessing and variable engineering script needs to be prepared. When the dataset
📈 A Discord bot for displaying the download stats of a repository made with Python, the Hikari API and PostgreSQL.
📈 axyl-stats axyl-stats is a Discord bot made with Python (with the Hikari API wrapper) and PostgreSQL, used as a download counter for a GitHub repo.
Sentiment Analysis Project using Count Vectorizer and TF-IDF Vectorizer
Sentiment Analysis Project This project contains two sentiment analysis programs for Hotel Reviews using a Hotel Reviews dataset from Datafiniti. The
A Lite Package focuses on making overwrite and mending functions easier and more flexible.
Overwrite Make Overwrite More flexible In Python A Lite Package focuses on making overwrite and mending functions easier and more flexible. Certain Me
This piece of code is a User Welcomer with Image Manipulation using Python and Pillow (PIL).
This piece of code is a User Welcomer with Image Manipulation using Python and Pillow (PIL).
Discord based board game, Sneks and Ladders
sneks-and-ladders Discord based board game, Sneks and Ladders intro This is the code-base for the Discord based game, Sneks and Ladders, as used for s
Set named timers for cooking, watering plants, brewing tea and more.
Timer Set named timers for cooking, watering plants, brewing tea and more. About Use Mycroft when your hands are messy or you need more that the one t
Extract rooms type, door, neibour rooms, rooms corners nad bounding boxes, and generate graph from rplan dataset
Housegan-data-reader House-GAN++ (data-reader) Code and instructions for converting rplan dataset (raster images) to housegan++ data format. House-GAN
A user-friendly research and development tool built to standardize RL competency assessment for custom agents and environments.
Built with ❤️ by Sam Showalter Contents Overview Installation Dependencies Usage Scripts Standard Execution Environment Development Environment Benchm
A Semi-Intelligent ChatBot filled with statistical and economical data for the Premier League.
MONEYBALL - ChatBot Module: 4006CEM, Class: B, Group: 5 Contributors: Jonas Djondo Roshan Kc Cole Samson Daniel Rodrigues Ihteshaam Naseer Kind remind
This Python library searches through a static directory and appends artist, title, track number, album title, duration, and genre to a .json object
This Python library searches through a static directory (needs to match your environment) and appends artist, title, track number, album title, duration, and genre to a .json object. This .json object is then used to post data to a specified table in a local MySQL database, credentials of which the user must set.
A bot that tweets info and location map for new bicycle parking added to OpenStreetMap within a GeoJSON boundary.
Bike parking tweepy bot app A twitter bot app that searches for bicycle parking added to OpenStreetMap. Relies on AWS Lambda/S3, Python3, Tweepy, Flas
A hobby project which includes a hand-gesture based virtual piano using a mobile phone camera and OpenCV library functions
Overview This is a hobby project which includes a hand-gesture controlled virtual piano using an android phone camera and some OpenCV library. My moti
Finding Label and Model Errors in Perception Data With Learned Observation Assertions
Finding Label and Model Errors in Perception Data With Learned Observation Assertions This is the project page for Finding Label and Model Errors in P
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
EfficientDet This is an implementation of EfficientDet for object detection on Keras and Tensorflow. The project is based on the official implementati
A Simple and Versatile Framework for Object Detection and Instance Recognition
SimpleDet - A Simple and Versatile Framework for Object Detection and Instance Recognition Major Features FP16 training for memory saving and up to 2.
Object detection, 3D detection, and pose estimation using center point detection:
Objects as Points Object detection, 3D detection, and pose estimation using center point detection: Objects as Points, Xingyi Zhou, Dequan Wang, Phili
Powerful and efficient Computer Vision Annotation Tool (CVAT)
Computer Vision Annotation Tool (CVAT) CVAT is free, online, interactive video and image annotation tool for computer vision. It is being used by our
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Image Super-Resolution (ISR) The goal of this project is to upscale and improve the quality of low resolution images. This project contains Keras impl
Curated list of awesome GAN applications and demo
gans-awesome-applications Curated list of awesome GAN applications and demonstrations. Note: General GAN papers targeting simple image generation such
LowRankModels.jl is a julia package for modeling and fitting generalized low rank models.
LowRankModels.jl LowRankModels.jl is a Julia package for modeling and fitting generalized low rank models (GLRMs). GLRMs model a data array by a low r
Distance correlation and related E-statistics in Python
dcor dcor: distance correlation and related E-statistics in Python. E-statistics are functions of distances between statistical observations in metric
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
What's New Below we share, in reverse chronological order, the updates and new releases in VISSL. All VISSL releases are available here. [Oct 2021]: V
The Fundamental Clustering Problems Suite (FCPS) summaries 54 state-of-the-art clustering algorithms, common cluster challenges and estimations of the number of clusters as well as the testing for cluster tendency.
FCPS Fundamental Clustering Problems Suite The package provides over sixty state-of-the-art clustering algorithms for unsupervised machine learning pu
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
Non-Metric Space Library (NMSLIB) Important Notes NMSLIB is generic but fast, see the results of ANN benchmarks. A standalone implementation of our fa
t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology.
tree-SNE t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology. Building on recent advances in s
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Kalman and Bayesian Filters in Python Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written
Computations and statistics on manifolds with geometric structures.
Geomstats Code Continuous Integration Code coverage (numpy) Code coverage (autograd, tensorflow, pytorch) Documentation Community NEWS: Geomstats is r
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.
Description Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis. Ti
GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
pm-prophet Pymc3-based universal time series prediction and decomposition library (inspired by Facebook Prophet). However, while Faceook prophet is a