1477 Repositories
Python testing-framework Libraries
A Python framework for interacting with Solana's Pyth network.
Pyth Network A basic Python framework for reading and decoding data regarding the Pyth network
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning
SPCL SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning Update on 2021/11/25: ArXiv Ver
Testability-Aware Low Power Controller Design with Evolutionary Learning, ITC2021
Testability-Aware Low Power Controller Design with Evolutionary Learning This repo contains the source code of Testability-Aware Low Power Controller
Coinbase Pro API interface framework and tooling
neutrino This project has just begun. Rudimentary API documentation Installation Prerequisites: Python 3.8+ and Git 2.33+ Navigate into a directory of
Generate random test credit card numbers for testing, validation and/or verification purposes.
Generate random test credit card numbers for testing, validation and/or verification purposes.
A framework that constructs deep neural networks, autoencoders, logistic regressors, and linear networks
A framework that constructs deep neural networks, autoencoders, logistic regressors, and linear networks without the use of any outside machine learning libraries - all from scratch.
A Machine Teaching Framework for Scalable Recognition
MEMORABLE This repository contains the source code accompanying our ICCV 2021 paper. A Machine Teaching Framework for Scalable Recognition Pei Wang, N
BinTuner is a cost-efficient auto-tuning framework, which can deliver a near-optimal binary code that reveals much more differences than -Ox settings.
BinTuner is a cost-efficient auto-tuning framework, which can deliver a near-optimal binary code that reveals much more differences than -Ox settings. it also can assist the binary code analysis research in generating more diversified datasets for training and testing. The BinTuner framework is based on OpenTuner, thanks to all contributors for their contributions.
ObjectDetNet is an easy, flexible, open-source object detection framework
Getting started with the ObjectDetNet ObjectDetNet is an easy, flexible, open-source object detection framework which allows you to easily train, resu
Bromelia-hss implements an HSS by using the Python micro framework Bromélia.
Bromélia HSS bromelia-hss is the second official implementation of a Diameter-based protocol application by using the Python micro framework Bromélia.
Haystack is an open source NLP framework that leverages Transformer models.
Haystack is an end-to-end framework that enables you to build powerful and production-ready pipelines for different search use cases. Whether you want
High performance distributed framework for training deep learning recommendation models based on PyTorch.
PERSIA (Parallel rEcommendation tRaining System with hybrId Acceleration) is developed by AI platform@Kuaishou Technology, collaborating with ETH. It
Python with OpenCV - MediaPip Framework Hand Detection
Python HandDetection Python with OpenCV - MediaPip Framework Hand Detection Explore the docs » Contact Me About The Project It is a Computer vision pa
The FIRST GANs-based omics-to-omics translation framework
OmiTrans Please also have a look at our multi-omics multi-task DL freamwork 👀 : OmiEmbed The FIRST GANs-based omics-to-omics translation framework Xi
Angular & Electron desktop UI framework. Angular components for native looking and behaving macOS desktop UI (Electron/Web)
Angular Desktop UI This is a collection for native desktop like user interface components in Angular, especially useful for Electron apps. It starts w
A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......
A Light and Fast Face Detector for Edge Devices Big News: LFD, which is a big update of LFFD, now is released (2021.03.09). It is strongly recommended
Python tools for penetration testing
pyTools_PT python tools for penetration testing Please don't use these tool for illegal purposes. These tools is meant for penetration testing for leg
A framework to create reusable Dash layout.
dash_component_template A framework to create reusable Dash layout.
GoldenSAML Attack Libraries and Framework
WhiskeySAML and Friends TicketsPlease TicketsPlease: Python library to assist with the generation of Kerberos tickets, remote retrieval of ADFS config
This repository contains learning resources for Python Fast API Framework and Docker
This repository contains learning resources for Python Fast API Framework and Docker, Build High Performing Apps With Python BootCamp by Lux Academy and Data Science East Africa.
Djask is a web framework for python which stands on the top of Flask and will be as powerful as Django.
Djask is a web framework for python which stands on the top of Flask and will be as powerful as Django.
TriOTP, the OTP framework for Python Trio
TriOTP, the OTP framework for Python Trio See documentation for more informations. Introduction This project is a simplified implementation of the Erl
Python script for converting figma produced SVG files into C++ JUCE framework source code
AutoJucer Python script for converting figma produced SVG files into C++ JUCE framework source code Watch the tutorial here! Getting Started Make some
Scikit-Learn useful pre-defined Pipelines Hub
Scikit-Pipes Scikit-Learn useful pre-defined Pipelines Hub Usage: Install scikit-pipes It's advised to install sklearn-genetic using a virtual env, in
Framework to make using Bottle less time-consuming and easier
A class for the Bottle API to reduce clutter and difficulty while creating a website.
GitHub action for AppSweep Mobile Application Security Testing
GitHub action for AppSweep can be used to continuously integrate app scanning using AppSweep into your Android app build process
Pytest plugin for testing the idempotency of a function.
pytest-idempotent Pytest plugin for testing the idempotency of a function. Usage pip install pytest-idempotent Documentation Suppose we had the follo
g2o: A General Framework for Graph Optimization
g2o - General Graph Optimization Linux: Windows: g2o is an open-source C++ framework for optimizing graph-based nonlinear error functions. g2o has bee
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and many other libraries. Documenta
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Softlearning Softlearning is a deep reinforcement learning toolbox for training maximum entropy policies in continuous domains. The implementation is
Opinionated boilerplate for starting a Django project together with React front-end library and TailwindCSS CSS framework.
Opinionated boilerplate for starting a Django project together with React front-end library and TailwindCSS CSS framework.
A DSL for data-driven computational pipelines
"Dataflow variables are spectacularly expressive in concurrent programming" Henri E. Bal , Jennifer G. Steiner , Andrew S. Tanenbaum Quick overview Ne
Demo repository for Saltconf21 talk - Testing strategies for Salt states
Saltconf21 testing strategies Demonstration repository for my Saltconf21 talk "Strategies for testing Salt states" Talk recording Slides and demos Get
Developing a python based app prototype with KivyMD framework for a competition :))
Developing a python based app prototype with KivyMD framework for a competition :))
RecList is an open source library providing behavioral, "black-box" testing for recommender systems.
RecList is an open source library providing behavioral, "black-box" testing for recommender systems.
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems
PowerGridworld provides users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environments that readily integrate with existing training frameworks for reinforcement learning (RL).
Machine Learning Framework for Operating Systems - Brings ML to Linux kernel
KML: A Machine Learning Framework for Operating Systems & Storage Systems Storage systems and their OS components are designed to accommodate a wide v
Code for testing convergence rates of Lipschitz learning on graphs
📈 LipschitzLearningRates The code in this repository reproduces the experimental results on convergence rates for k-nearest neighbor graph infinity L
A Python implementation of GRAIL, a generic framework to learn compact time series representations.
GRAIL A Python implementation of GRAIL, a generic framework to learn compact time series representations. Requirements Python 3.6+ numpy scipy tslearn
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
English | 简体中文 Documentation: https://mmtracking.readthedocs.io/ Introduction MMTracking is an open source video perception toolbox based on PyTorch.
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
Jittor: a Just-in-time(JIT) deep learning framework Quickstart | Install | Tutorial | Chinese Jittor is a high-performance deep learning framework bas
A framework that allows people to write their own Rocket League bots.
YOU PROBABLY SHOULDN'T PULL THIS REPO Bot Makers Read This! If you just want to make a bot, you don't need to be here. Instead, start with one of thes
I managed to attach the Django Framework to my Telegram Bot and set a webhook
I managed to attach the Django Framework to my Telegram Bot and set a webhook. I've been developing it from 10th of November 2021 and I want to have a basic working prototype.
Auto locust load test config and worker distribution with Docker and GitHub Action
Auto locust load test config and worker distribution with Docker and GitHub Action Install Fork the repo and change the visibility option to private S
Moodle community-based vulnerability scanner
badmoodle Moodle community-based vulnerability scanner Description badmoodle is an unofficial community-based vulnerability scanner for moodle that sc
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
Welcome to AdaptNLP A high level framework and library for running, training, and deploying state-of-the-art Natural Language Processing (NLP) models
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
An Agnostic Object Detection Framework IceVision is the first agnostic computer vision framework to offer a curated collection with hundreds of high-q
This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".
A Memory-saving Training Framework for Transformers This is the official PyTorch implementation for Mesa: A Memory-saving Training Framework for Trans
A framework for annotating 3D meshes using the predictions of a 2D semantic segmentation model.
Semantic Meshes A framework for annotating 3D meshes using the predictions of a 2D semantic segmentation model. Paper If you find this framework usefu
The Most Efficient Temporal Difference Learning Framework for 2048
moporgic/TDL2048+ TDL2048+ is a highly optimized temporal difference (TD) learning framework for 2048. Features Many common methods related to 2048 ar
Code for NeurIPS2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints"
This repository is the code for NeurIPS 2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints". Edit 2021/
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks Image Classification Dataset: Google Landmark, COCO, ImageNet Model: Efficient
Testing - Instrumenting Sanic framework with Opentelemetry
sanic-otel-splunk Testing - Instrumenting Sanic framework with Opentelemetry Test with python 3.8.10, sanic 20.12.2 Step to instrument pip install -r
Python framework for AsyncAPI-documented Websocket, PubSub, and other async constructs
asyncapi-eventrouter Work in Progress Write Python code for Event-Driven Architectures! The asyncapi-eventrouter prototype library creates Websocket,
A natural language modeling framework based on PyTorch
Overview PyText is a deep-learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapi
ETNA – time series forecasting framework
ETNA Time Series Library Predict your time series the easiest way Homepage | Documentation | Tutorials | Contribution Guide | Release Notes ETNA is an
This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".
Mesa: A Memory-saving Training Framework for Transformers This is the official PyTorch implementation for Mesa: A Memory-saving Training Framework for
Collection of AWS Fault Injection Simulator (FIS) experiment templates.
Collection of AWS Fault Injection Simulator (FIS) experiment templates. These templates let you perform chaos engineering experiments on resources (applications, network, and infrastructure) in the AWS Cloud.
🔎 Most Advanced Open Source Intelligence (OSINT) Framework for scanning IP Address, Emails, Websites, Organizations.
🔎 Most Advanced Open Source Intelligence (OSINT) Framework for scanning IP Address, Emails, Websites, Organizations.
An Active Automata Learning Library Written in Python
AALpy An Active Automata Learning Library AALpy is a light-weight active automata learning library written in pure Python. You can start learning auto
The pure and clear PyTorch Distributed Training Framework.
The pure and clear PyTorch Distributed Training Framework. Introduction Requirements and Usage Dependency Dataset Basic Usage Slurm Cluster Usage Base
Scheme for training and applying a label propagation framework
Factorisation-based Image Labelling Overview This is a scheme for training and applying the factorisation-based image labelling (FIL) framework. Some
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Automatic, Readable, Reusable, Extendable Machin is a reinforcement library designed for pytorch. Build status Platform Status Linux Windows Supported
An Unsupervised Detection Framework for Chinese Jargons in the Darknet
An Unsupervised Detection Framework for Chinese Jargons in the Darknet This repo is the Python 3 implementation of 《An Unsupervised Detection Framewor
Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy
Introduction ImagePy is an open source image processing framework written in Python. Its UI interface, image data structure and table data structure a
How to use TensorLayer
How to use TensorLayer While research in Deep Learning continues to improve the world, we use a bunch of tricks to implement algorithms with TensorLay
A distributed deep learning framework that supports flexible parallelization strategies.
FlexFlow FlexFlow is a deep learning framework that accelerates distributed DNN training by automatically searching for efficient parallelization stra
Django API without Django REST framework.
Django API without DRF This is a API project made with Django, and without Django REST framework. This project was done with: Python 3.9.8 Django 3.2.
Command line tool for interacting and testing warehouse components
Warehouse debug CLI Example usage for Zumo debugging See all messages queued and handled. Enable by compiling the zumo-controller with -DDEBUG_MODE_EN
A music recommendation REST API which makes a machine learning algorithm work with the Django REST Framework
music-recommender-rest-api A music recommendation REST API which makes a machine learning algorithm work with the Django REST Framework How it works T
Try to create a python mircoservice framework.
Micro current_status: prototype. ... Python microservice framework. More in Document. You should clone this project and run inv docs. Install Not now.
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
Project This repo has been populated by an initial template to help get you started. Please make sure to update the content to build a great experienc
Avocado is a set of tools and libraries to help with automated testing.
Welcome to Avocado Avocado is a set of tools and libraries to help with automated testing. One can call it a test framework with benefits. Native test
MuMMI Core is the underlying infrastructure and generalizable component of the MuMMI framework
MuMMI Core is the underlying infrastructure and generalizable component of the MuMMI framework, which facilitates the coordination of massively parallel multiscale simulations.
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
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
Project This repo has been populated by an initial template to help get you started. Please make sure to update the content to build a great experienc
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.
Serverless Public Key Infrastructure Framework
Ottr: Serverless Public Key Infrastructure Framework Ottr is a serverless framework for Public Key Infrastructure (PKI) that aims to provide a robust
BloodyAD is an Active Directory Privilege Escalation Framework
BloodyAD Framework BloodyAD is an Active Directory Privilege Escalation Framework, it can be used manually using bloodyAD.py or automatically by combi
Learning kernels to maximize the power of MMD tests
Code for the paper "Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy" (arXiv:1611.04488; published at ICLR 2017), by Douga
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.
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
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
Twitter-clone using Django (DRF) + VueJS
Twitter Clone work in progress 🚧 A Twitter clone project Table Of Contents About the Project Built With Getting Started Running project License Autho
A flexible submap-based framework towards spatio-temporally consistent volumetric mapping and scene understanding.
Panoptic Mapping This package contains panoptic_mapping, a general framework for semantic volumetric mapping. We provide, among other, a submap-based
High performance distributed framework for training deep learning recommendation models based on PyTorch.
High performance distributed framework for training deep learning recommendation models based on PyTorch.
Human Pose estimation with TensorFlow framework
Human Pose Estimation with TensorFlow Here you can find the implementation of the Human Body Pose Estimation algorithm, presented in the DeeperCut and
Making simplex testing clean and simple
Making Simplex Project Testing - Clean and Simple What does this repo do? It organizes the python stack for the coding project What do I need to do in
Code for DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents
DeepXML Code for DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents Architectures and algorithms DeepXML supports
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations Requirements python 3.6 torch 1.9 numpy 1.19 Quick Start The experimen
Pansharpening by convolutional neural networks in the full resolution framework
Z-PNN: Zoom Pansharpening Neural Network Pansharpening by convolutional neural networks in the full resolution framework is a deep learning method for
Automated testing tool developed in python for Advanced mathematical operations.
Advanced-Maths-Operations-Validations Automated testing tool developed in python for Advanced mathematical operations. Requirements Python 3.5 or late
Fast Image Retrieval is an open source image retrieval framework
Fast Image Retrieval is an open source image retrieval framework release by Center of Image and Signal Processing Lab (CISiP Lab), Universiti Malaya. This framework implements most of the major binary hashing methods, together with both popular backbone networks and public datasets.
Python framework to build apps with the GASP metaphor
Gaspium Python framework to build apps with the GASP metaphor This project is part of the Pyrustic Open Ecosystem. Installation | Documentation | Late
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Telemanom (v2.0) v2.0 updates: Vectorized operations via numpy Object-oriented restructure, improved organization Merge branches into single branch fo
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
DoWhy | An end-to-end library for causal inference Amit Sharma, Emre Kiciman Introducing DoWhy and the 4 steps of causal inference | Microsoft Researc
StackNet is a computational, scalable and analytical Meta modelling framework
StackNet This repository contains StackNet Meta modelling methodology (and software) which is part of my work as a PhD Student in the computer science
AdaNet is a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention
AdaNet is a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention. AdaNet buil
A hyperparameter optimization framework
Optuna: A hyperparameter optimization framework Website | Docs | Install Guide | Tutorial Optuna is an automatic hyperparameter optimization software
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Alpha Zero General (any game, any framework!) A simplified, highly flexible, commented and (hopefully) easy to understand implementation of self-play