4499 Repositories
Python Does-MAML-Only-Work-via-Feature-Re-use-A-Data-Set-Centric-Perspective Libraries
🍰 ConnectMP - An easy and efficient way to share data between Processes in Python.
ConnectMP - Taking Multi-Process Data Sharing to the moon 🚀 Contribute · Community · Documentation 🎫 Introduction : 🍤 ConnectMP is the easiest and
A Python wrapper API for operating and working with the Neo4j Graph Data Science (GDS) library
gdsclient This repo hosts the sources for gdsclient, a Python wrapper API for operating and working with the Neo4j Graph Data Science (GDS) library. g
This repository contains the code, data, and models of the paper titled "CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summarization for 1500+ Language Pairs".
CrossSum This repository contains the code, data, and models of the paper titled "CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summ
flask-reactize is a boostrap to serve any React JS application via a Python back-end, using Flask as web framework.
flask-reactize Purpose Developing a ReactJS application requires to use nodejs as back end server. What if you want to consume external APIs: how are
Aircache is an open-source caching and security solution that can be integrated with most decoupled apps that use REST APIs for communicating.
AirCache Aircache is an open-source caching and security solution that can be integrated with most decoupled apps that use REST APIs for communicating
YoloAll is a collection of yolo all versions. you you use YoloAll to test yolov3/yolov5/yolox/yolo_fastest
官方讨论群 QQ群:552703875 微信群:15158106211(先加作者微信,再邀请入群) YoloAll项目简介 YoloAll是一个将当前主流Yolo版本集成到同一个UI界面下的推理预测工具。可以迅速切换不同的yolo版本,并且可以针对图片,视频,摄像头码流进行实时推理,可以很方便,直观
A really easy-to-use and powerful sudoku solver.
SodukuSolver This is a really useful sudoku solver with a Qt gui. USAGE Enter the numbers in and click "RUN"! If you don't want to wait, simply press
A set of demo of deploying a Machine Learning Model in production using various methods
Machine Learning Model in Production This git is for those who have concern about serving your machine learning model to production. Overview The tuto
Official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.
GLIDE This is the official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing w
Quick tutorial on orchest.io that shows how to build multiple deep learning models on your data with a single line of code using python
Deep AutoViML Pipeline for orchest.io Quickstart Build Deep Learning models with a single line of code: deep_autoviml Deep AutoViML helps you build te
📜 GPT-2 Rhyming Limerick and Haiku models using data augmentation
Well-formed Limericks and Haikus with GPT2 📜 GPT-2 Rhyming Limerick and Haiku models using data augmentation In collaboration with Matthew Korahais &
A desktop application developed in Python with PyQt5 to predict demand and help monitor and schedule brewing processes for Barnaby's Brewhouse.
brewhouse-management A desktop application developed in Python with PyQt5 to predict demand and help monitor and schedule brewing processes for Barnab
Data Platform com AWS CDK
Welcome to your CDK Python project! This is a blank project for Python development with CDK. The cdk.json file tells the CDK Toolkit how to execute yo
Get MODBUS data from Sofar (K-TLX) inverter through LSW-3 or LSE module
SOFAR Inverter + LSW-3/LSE Small utility to read data from SOFAR K-TLX inverters through the Solarman (LSW-3/LSE) datalogger. Two scripts to get inver
Data and analysis relating to the 5.8M Melbourne quake of 2021
quake2021 Data and analysis relating to the 5.8M Melbourne quake of 2021 Monash University Woodside Living Lab Building The building is located here T
Automatic data visualization in atom with the nteract data-explorer
Data Explorer Interactively explore your data directly in atom with hydrogen! The nteract data-explorer provides automatic data visualization, so you
Tidy data structures, summaries, and visualisations for missing data
naniar naniar provides principled, tidy ways to summarise, visualise, and manipulate missing data with minimal deviations from the workflows in ggplot
Learn how modern web applications and microservice architecture work as you complete a creative assignment
Micro-service Создание микросервиса Цель работы Познакомиться с механизмом работы современных веб-приложений и микросервисной архитектуры в процессе в
Set your Dynaconf environment to testing when running pytest
pytest-dynaconf Set your Dynaconf environment to testing when running pytest. Installation You can install "pytest-dynaconf" via pip from PyPI: $ pip
Header-only library for using Keras models in C++.
frugally-deep Use Keras models in C++ with ease Table of contents Introduction Usage Performance Requirements and Installation FAQ Introduction Would
Streaming over lightweight data transformations
Description Data augmentation libarary for Deep Learning, which supports images, segmentation masks, labels and keypoints. Furthermore, SOLT is fast a
A knowledge base construction engine for richly formatted data
Fonduer is a Python package and framework for building knowledge base construction (KBC) applications from richly formatted data. Note that Fonduer is
Automatic labeling, conversion of different data set formats, sample size statistics, model cascade
Simple Gadget Collection for Object Detection Tasks Automatic image annotation Conversion between different annotation formats Obtain statistical info
This is an OverPowered Vc Music Player! Will work for you and play music in Voice Chatz
VcPlayer This is an OverPowered Vc Music Player! Will work for you and play music in Voice Chatz Telegram Voice-Chat Bot [PyTGCalls] ⇝ Requirements ⇜
This is a web crawler that works on employ email data by gmane.org and visualizes it in different ways.
crawler_to_visual_gmane Analyzing an EMAIL Archive from gmane and vizualizing the data using the D3 JavaScript library. This is a set of tools that al
Base on browser-time to get har from network, and use python to analyze the data .
base on browser-time to get har from network, and use python to analyze the data
A custom qq-plot for two sample data comparision
QQ-Plot 2 Sample Just a gist to include the custom code to draw a qq-plot in python when dealing with a "two sample problem". This means when u try to
Using computer vision method to recognize and calcutate the features of the architecture.
building-feature-recognition In this repository, we accomplished building feature recognition using traditional/dl-assisted computer vision method. Th
This script provides LIVE feedback for On-The-Fly data collection with RELION
README This script provides LIVE feedback for On-The-Fly data collection with RELION (very useful to explore already processed datasets too!) Creating
PyTorch implementation of Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation Introduction This is a PyTorch
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism This repository is the official PyTorch implementation of our AAAI-2022 paper, in
Malware for Discord, designed to steal passwords, tokens, and inject discord folders for long-term use.
Vital What is Vital? Vital is malware primarily used to collect and extract information from the Discord desktop client. While it has other features (
SOCMINT tool to get personal infos from an Instagram account via analysis of its followers and/or following
S T E R R A 🔭 A SOCMINT tool to get infos from an Instagram acc via its Followers / Following Allows you to analyse someone's followers, following, a
Fast methods to work with hydro- and topography data in pure Python.
PyFlwDir Intro PyFlwDir contains a series of methods to work with gridded DEM and flow direction datasets, which are key to many workflows in many ear
Pytorch library for seismic data augmentation
Pytorch library for seismic data augmentation
A wrapper around SageMaker ML Lineage Tracking extending ML Lineage to end-to-end ML lifecycles, including additional capabilities around Feature Store groups, queries, and other relevant artifacts.
ML Lineage Helper This library is a wrapper around the SageMaker SDK to support ease of lineage tracking across the ML lifecycle. Lineage artifacts in
Simple and ready-to-use tutorials for TensorFlow
TensorFlow World To support maintaining and upgrading this project, please kindly consider Sponsoring the project developer. Any level of support is a
You Only Look Once for Panopitic Driving Perception
You Only 👀 Once for Panoptic 🚗 Perception You Only Look at Once for Panoptic driving Perception by Dong Wu, Manwen Liao, Weitian Zhang, Xinggang Wan
A Parameter-free Deep Embedded Clustering Method for Single-cell RNA-seq Data
A Parameter-free Deep Embedded Clustering Method for Single-cell RNA-seq Data Overview Clustering analysis is widely utilized in single-cell RNA-seque
Highly decentralized and censorship-resistant way to store key data
Beacon coin Beacon coin is a Chia singelton coin that can store data that needs to be: always available censorship resistant versioned potentially imm
Convert Table data to approximate values with GUI
Table_Editor Convert Table data to approximate values with GUIs... usage - Import methods for extension Tables. Imported method supposed to have only
Python SDK for LUSID by FINBOURNE, a bi-temporal investment management data platform with portfolio accounting capabilities.
LUSID® Python SDK This is the Python SDK for LUSID by FINBOURNE, a bi-temporal investment management data platform with portfolio accounting capabilit
simple way to build the declarative and destributed data pipelines with python
unipipeline simple way to build the declarative and distributed data pipelines. Why you should use it Declarative strict config Scaffolding Fully type
Python library for creating data pipelines with chain functional programming
PyFunctional Features PyFunctional makes creating data pipelines easy by using chained functional operators. Here are a few examples of what it can do
Search email inbox with python and filter with search criteria via IMAP4 and fastapi or console
Search email inbox with python and filter with search criteria via IMAP4 and fastapi or console
Automation that uses Github Actions, Google Drive API, YouTube Data API and youtube-dl together to feed BackJam app with new music
Automation that uses Github Actions, Google Drive API, YouTube Data API and youtube-dl together to feed BackJam app with new music
Rich presence app for playstation 3. Display what game you are playing on the PS3 via Discord
PS3-Rich-Presence-for-Discord Discord Rich Presence script for PS3 consoles on HFW&HEN or CFW. Written in Python. Display what you are playing on your
Evaluation of file formats in the context of geo-referenced 3D geometries.
Geo-referenced Geometry File Formats Classic geometry file formats as .obj, .off, .ply, .stl or .dae do not support the utilization of coordinate syst
Fast Python reader and editor for ASAM MDF / MF4 (Measurement Data Format) files
asammdf is a fast parser and editor for ASAM (Association for Standardization of Automation and Measuring Systems) MDF (Measurement Data Format) files
🌎 The Modern Declarative Data Flow Framework for the AI Empowered Generation.
🌎 JSONClasses JSONClasses is a declarative data flow pipeline and data graph framework. Official Website: https://www.jsonclasses.com Official Docume
Feature rich robust FastAPI template.
Flexible and Lightweight general-purpose template for FastAPI. Usage ⚠️ Git, Python and Poetry must be installed and accessible ⚠️ Poetry version must
A full pipeline AutoML tool for tabular data
HyperGBM Doc | 中文 We Are Hiring! Dear folks,we are offering challenging opportunities located in Beijing for both professionals and students who are k
WBMS automates sending of message to multiple numbers via WhatsApp Web
WhatsApp Bulk Message Sender - WBMS WBMS automates sending of message to multiple numbers via WhatsApp Web. Report Bug · Request Feature Love the proj
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism This repository is the official PyTorch implementation of our AAAI-2022 paper, in
Feature Store for Machine Learning
Overview Feast is an open source feature store for machine learning. Feast is the fastest path to productionizing analytic data for model training and
A distributed block-based data storage and compute engine
Nebula is an extremely-fast end-to-end interactive big data analytics solution. Nebula is designed as a high-performance columnar data storage and tabular OLAP engine.
[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.
MVSNeRF Project page | Paper This repository contains a pytorch lightning implementation for the ICCV 2021 paper: MVSNeRF: Fast Generalizable Radiance
Use .csv files to record, play and evaluate motion capture data.
Purpose These scripts allow you to record mocap data to, and play from .csv files. This approach facilitates parsing of body movement data in statisti
Backend code to use MCPI's python API to make infinite worlds with custom generation
inf-mcpi Backend code to use MCPI's python API to make infinite worlds with custom generation Does not save player-placed blocks! Generation is still
Tiny JSON RPC via HTTP library.
jrpc Simplest ever possible Asynchronous JSON RPC via HTTP library for Python, backed by httpx. Installation pip install async-jrpc Usage Import JRPC
Use Fast Redirect to easily redirect your domains.
Fast Redirect Use Fast Redirect to easily redirect your domains. Fast Redirects expects a JSON 'database'. This JSON 'database' contains the domains t
Python package for analyzing sensor-collected human motion data
Python package for analyzing sensor-collected human motion data
Motion Reconstruction Code and Data for Skills from Videos (SFV)
Motion Reconstruction Code and Data for Skills from Videos (SFV) This repo contains the data and the code for motion reconstruction component of the S
demir.ai Dataset Operations
demir.ai Dataset Operations With this application, you can have the empty values (nan/null) deleted or filled before giving your dataset to machine le
PyTorch implementation of Deep HDR Imaging via A Non-Local Network (TIP 2020).
NHDRRNet-PyTorch This is the PyTorch implementation of Deep HDR Imaging via A Non-Local Network (TIP 2020). 0. Differences between Original Paper and
scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms.
Sklearn-genetic-opt scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms. This is meant to be an alternativ
Itchio Downloader Tool with python
Itchio Downloader Tool Install pip install git+https://github.com/emersont1/itchio Download All Games in library from account python -m itchio.downloa
Process RunGap output file of a workout and load data into Apple Numbers Spreadsheet and my website with API calls
BSD 3-Clause License Copyright (c) 2020, Mike Bromberek All rights reserved. ProcessWorkout Exercise data is exported in JSON format to iCloud using
Howell County, Missouri, COVID-19 data and (unofficial) estimates
COVID-19 in Howell County, Missouri This repository contains the daily data files used to generate my COVID-19 dashboard for Howell County, Missouri,
BERT, LDA, and TFIDF based keyword extraction in Python
BERT, LDA, and TFIDF based keyword extraction in Python kwx is a toolkit for multilingual keyword extraction based on Google's BERT and Latent Dirichl
Functions for easily making publication-quality figures with matplotlib.
Data-viz utils 📈 Functions for data visualization in matplotlib 📚 API Can be installed using pip install dvu and then imported with import dvu. You
Continuously evaluated, functional, incremental, time-series forecasting
timemachines Autonomous, univariate, k-step ahead time-series forecasting functions assigned Elo ratings You can: Use some of the functionality of a s
Code for: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification Prerequisite PyTorch = 1.2.0 Python3 torch
[AAAI 2021] EMLight: Lighting Estimation via Spherical Distribution Approximation and [ICCV 2021] Sparse Needlets for Lighting Estimation with Spherical Transport Loss
EMLight: Lighting Estimation via Spherical Distribution Approximation (AAAI 2021) Update 12/2021: We release our Virtual Object Relighting (VOR) Datas
Source code for "Interactive All-Hex Meshing via Cuboid Decomposition [SIGGRAPH Asia 2021]".
Interactive All-Hex Meshing via Cuboid Decomposition Video demonstration This repository contains an interactive software to the PolyCube-based hex-me
ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data
ARKitScenes This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D
DeepVoxels is an object-specific, persistent 3D feature embedding.
DeepVoxels is an object-specific, persistent 3D feature embedding. It is found by globally optimizing over all available 2D observations of
Code for paper Novel View Synthesis via Depth-guided Skip Connections
Novel View Synthesis via Depth-guided Skip Connections Code for paper Novel View Synthesis via Depth-guided Skip Connections @InProceedings{Hou_2021_W
Generating Digital Painting Lighting Effects via RGB-space Geometry (SIGGRAPH2020/TOG2020)
Project PaintingLight PaintingLight is a project conducted by the Style2Paints team, aimed at finding a method to manipulate the illumination in digit
A DiY holiday project to demonstrate how you can send data from adafruitIO cloud to a balena edge device
holiday-star balena ❤️ adafruitIO Introduction A DiY holiday project to demonstrate how you can send data from adafruitIO cloud to a balena edge devic
A CLI client for sending text emails. (Currently only gmail supported)
emailCLI A CLI client for sending text emails. (Currently only gmail supported)
A high-level yet extensible library for fast language model tuning via automatic prompt search
ruPrompts ruPrompts is a high-level yet extensible library for fast language model tuning via automatic prompt search, featuring integration with Hugg
Industrial Image Anomaly Localization Based on Gaussian Clustering of Pre-trained Feature
Industrial Image Anomaly Localization Based on Gaussian Clustering of Pre-trained Feature Q. Wan, L. Gao, X. Li and L. Wen, "Industrial Image Anomaly
A hangman game that I created. Thanks to Data Flair for giving me the code!
Hangman A hangman game that I created. Thanks to Data Flair for giving me the code! Run python3 hangman.py in a terminal if you have Python 3. Please
A simple, fast, and awesome discord nuke bot! The only thing you need to add is your bot token.
SimpleNukeBot A simple, fast, and awesome discord nuke bot! The only thing you need to add is your bot token. Instructions: All you need to do is crea
A Streamlit web-app for a data-science project that aims to evaluate if the answer to a question is helpful.
How useful is the aswer? A Streamlit web-app for a data-science project that aims to evaluate if the answer to a question is helpful. If you want to l
DataShare - Simple library for data sharing between scripts and public functions calling
DataShare - Simple library for data sharing between scripts and public functions calling. Installation. Install code, Delete LICENSE, README, readme.t
Working demo of the Multi-class and Anomaly classification model using the CLIP feature space
👁️ Hindsight AI: Crime Classification With Clip About For Educational Purposes Only This is a recursive neural net trained to classify specific crime
Ensembling Off-the-shelf Models for GAN Training
Data-Efficient GANs with DiffAugment project | paper | datasets | video | slides Generated using only 100 images of Obama, grumpy cats, pandas, the Br
A set of Python scripts for finding threats in Office365
Py365 A collection of scripts for finding threats in Office365 Risky Rules A tool for finding risky or suspicious inbox rules - more detail in this po
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
About The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficien
Fit models to your data in Python with Sherpa.
Table of Contents Sherpa License How To Install Sherpa Using Anaconda Using pip Building from source History Release History Sherpa Sherpa is a modeli
Download candlestick data fast & easy for analysis
crypto-candlesticks 📈 The goal behind this project is to facilitate downloading cryptocurrency candlestick data fast & simple. Currently only the Bit
Label data using HuggingFace's transformers and automatically get a prediction service
Label Studio for Hugging Face's Transformers Website • Docs • Twitter • Join Slack Community Transfer learning for NLP models by annotating your textu
labsecurity is a framework and its use is for ethical hacking and computer security
labsecurity labsecurity is a framework and its use is for ethical hacking and computer security. Warning This tool is only for educational purpose. If
🐍 A hyper-fast Python module for reading/writing JSON data using Rust's serde-json.
A hyper-fast, safe Python module to read and write JSON data. Works as a drop-in replacement for Python's built-in json module. This is alpha software
Codes for realizing theories learned from Data Mining, Machine Learning, Deep Learning without using the present Python packages.
Codes-for-Algorithms Codes for realizing theories learned from Data Mining, Machine Learning, Deep Learning without using the present Python packages.
A model that attempts to learn and benefit from data collected on card counting.
A model that attempts to learn and benefit from data collected on card counting. A decision tree like model is built to win more often than loose and increase the bet of the player appropriately to come out winning as much money as possible.
Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method
Overcooked-AI We suppose to apply traditional offline reinforcement learning technique to multi-agent algorithm. In this repository, we implemented be
Reaction SMILES-AA mapping via language modelling
rxn-aa-mapper Reactions SMILES-AA sequence mapping setup conda env create -f conda.yml conda activate rxn_aa_mapper In the following we consider on ex