1677 Repositories
Python genetic-algorithm-framework Libraries
A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs.
A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs, supporting both control flow and dataflow execution paradigms as well as de-centralized CPU & GPU scheduling.
The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020.
DS3L This is the code for paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020. Setups The code is implem
Shuwa Gesture Toolkit is a framework that detects and classifies arbitrary gestures in short videos
Shuwa Gesture Toolkit is a framework that detects and classifies arbitrary gestures in short videos
Django REST API with React BoilerPlate
This is a setup of Authentication and Registration Integrated with React.js inside the Django Templates for web apps
TikTok X-Gorgon & X-Khronos Generation Algorithm
TikTok X-Gorgon & X-Khronos Generation Algorithm X-Gorgon and X-Khronos headers are required to call tiktok api. I will provide you API as rental or s
ERISHA is a mulitilingual multispeaker expressive speech synthesis framework. It can transfer the expressivity to the speaker's voice for which no expressive speech corpus is available.
ERISHA: Multilingual Multispeaker Expressive Text-to-Speech Library ERISHA is a multilingual multispeaker expressive speech synthesis framework. It ca
DataOps framework for Machine Learning projects.
Noronha DataOps Noronha is a Python framework designed to help you orchestrate and manage ML projects life-cycle. It hosts Machine Learning models ins
Learn Python and the Django Framework by building a e-commerce website
The Django-Ecommerce is an open-source project initiative and tutorial series built with Python and the Django Framework.
A Lucid Framework for Transparent and Interpretable Machine Learning Models.
Currently a Beta-Version lucidmode is an open-source, low-code and lightweight Python framework for transparent and interpretable machine learning mod
I tried to apply the CAM algorithm to YOLOv4 and it worked.
YOLOV4:You Only Look Once目标检测模型在pytorch当中的实现 2021年2月7日更新: 加入letterbox_image的选项,关闭letterbox_image后网络的map得到大幅度提升。 目录 性能情况 Performance 实现的内容 Achievement
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Python Streaming Anomaly Detection (PySAD) PySAD is an open-source python framework for anomaly detection on streaming multivariate data. Documentatio
XtremeDistil framework for distilling/compressing massive multilingual neural network models to tiny and efficient models for AI at scale
XtremeDistilTransformers for Distilling Massive Multilingual Neural Networks ACL 2020 Microsoft Research [Paper] [Video] Releasing [XtremeDistilTransf
PyTorch CZSL framework containing GQA, the open-world setting, and the CGE and CompCos methods.
Compositional Zero-Shot Learning This is the official PyTorch code of the CVPR 2021 works Learning Graph Embeddings for Compositional Zero-shot Learni
PyMMO is a Python-based MMO game framework using sockets and PyGame.
PyMMO is a Python framework/template of a MMO game built using PyGame on top of Python's built-in socket module.
SARA - Simple Android Ransomware Attack
SARA - Simple Android Ransomware Attack Disclaimer The author is not responsible for any issues or damage caused by this program. Features User can cu
Pytorch reimplement of the paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" ACL2020. The original code is written in keras.
CasRel-pytorch-reimplement Pytorch reimplement of the paper "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction" ACL2020. The o
Ward is a modern test framework for Python with a focus on productivity and readability.
Ward is a modern test framework for Python with a focus on productivity and readability.
Stream Framework is a Python library, which allows you to build news feed, activity streams and notification systems using Cassandra and/or Redis. The authors of Stream-Framework also provide a cloud service for feed technology:
Stream Framework Activity Streams & Newsfeeds Stream Framework is a Python library which allows you to build activity streams & newsfeeds using Cassan
Python sample codes for robotics algorithms.
PythonRobotics Python codes for robotics algorithm. Table of Contents What is this? Requirements Documentation How to use Localization Extended Kalman
FastFace: Lightweight Face Detection Framework
Light Face Detection using PyTorch Lightning
An unofficial PyTorch implementation of a federated learning algorithm, FedAvg.
Federated Averaging (FedAvg) in PyTorch An unofficial implementation of FederatedAveraging (or FedAvg) algorithm proposed in the paper Communication-E
A framework for cleaning Chinese dialog data
A framework for cleaning Chinese dialog data
A general-purpose multi-agent training framework.
MALib A general-purpose multi-agent training framework. Installation step1: build environment conda create -n malib python==3.7 -y conda activate mali
A genetic algorithm written in Python for educational purposes.
Genea: A Genetic Algorithm in Python Genea is a Genetic Algorithm written in Python, for educational purposes. I started writing it for fun, while lea
framework providing automatic constructions of vulnerable infrastructures
中文 | English 1 Introduction Metarget = meta- + target, a framework providing automatic constructions of vulnerable infrastructures, used to deploy sim
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
30 Days Of Machine Learning Using Pytorch Objective of the repository is to learn and build machine learning models using Pytorch. List of Algorithms
This repository describes our reproducible framework for assessing self-supervised representation learning from speech
LeBenchmark: a reproducible framework for assessing SSL from speech Self-Supervised Learning (SSL) using huge unlabeled data has been successfully exp
Repository for XLM-T, a framework for evaluating multilingual language models on Twitter data
This is the XLM-T repository, which includes data, code and pre-trained multilingual language models for Twitter. XLM-T - A Multilingual Language Mode
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
Deep learning based state estimation: incorporating Transformer and LSTM to Kalman Filter with EM algorithm Overview Kalman Filter requires the true p
Word2Wave: a framework for generating short audio samples from a text prompt using WaveGAN and COALA.
Word2Wave is a simple method for text-controlled GAN audio generation. You can either follow the setup instructions below and use the source code and CLI provided in this repo or you can have a play around in the Colab notebook provided. Note that, in both cases, you will need to train a WaveGAN model first
Parrot is a paraphrase based utterance augmentation framework purpose built to accelerate training NLU models
Parrot is a paraphrase based utterance augmentation framework purpose built to accelerate training NLU models. A paraphrase framework is more than just a paraphrasing model.
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
UIS-RNN Overview This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm. UIS-RNN solves the problem of s
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
MMF is a modular framework for vision and language multimodal research from Facebook AI Research. MMF contains reference implementations of state-of-t
Sequence-to-Sequence Framework in PyTorch
nmtpytorch allows training of various end-to-end neural architectures including but not limited to neural machine translation, image captioning and au
An open source framework for seq2seq models in PyTorch.
pytorch-seq2seq Documentation This is a framework for sequence-to-sequence (seq2seq) models implemented in PyTorch. The framework has modularized and
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Karate Club is an unsupervised machine learning extension library for NetworkX. Please look at the Documentation, relevant Paper, Promo Video, and Ext
Inject an ID into every log message from a Django request. ASGI compatible, integrates with Sentry, and works with Celery
Django GUID Now with ASGI support! Django GUID attaches a unique correlation ID/request ID to all your log outputs for every request. In other words,
An easier way to build neural search on the cloud
Jina is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an end-to-end experience.
Django Ninja is a web framework for building APIs with Django and Python 3.6+ type hints.
💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Visual DSL framework for django
Preface Processes change more often than technic. Domain Rules are situational and may differ from customer to customer. With diverse code and frequen
E-Commerce Platform
Shuup Shuup is an Open Source E-Commerce Platform based on Django and Python. https://shuup.com/ Copyright Copyright (c) 2012-2021 by Shuup Commerce I
CLEAR algorithm for multi-view data association
CLEAR: Consistent Lifting, Embedding, and Alignment Rectification Algorithm The Matlab, Python, and C++ implementation of the CLEAR algorithm, as desc
This is a repository for collecting global custom management extensions for the Django Framework.
Django Extensions Django Extensions is a collection of custom extensions for the Django Framework. Getting Started The easiest way to figure out what
The little ASGI framework that shines. 🌟
✨ The little ASGI framework that shines. ✨ Documentation: https://www.starlette.io/ Community: https://discuss.encode.io/c/starlette Starlette Starlet
Automated generation of real Swagger/OpenAPI 2.0 schemas from Django REST Framework code.
drf-yasg - Yet another Swagger generator Generate real Swagger/OpenAPI 2.0 specifications from a Django Rest Framework API. Compatible with Django Res
A JSON Web Token authentication plugin for the Django REST Framework.
Simple JWT Abstract Simple JWT is a JSON Web Token authentication plugin for the Django REST Framework. For full documentation, visit django-rest-fram
Authentication for Django Rest Framework
Dj-Rest-Auth Drop-in API endpoints for handling authentication securely in Django Rest Framework. Works especially well with SPAs (e.g React, Vue, Ang
tfquery: Run SQL queries on your Terraform infrastructure. Query resources and analyze its configuration using a SQL-powered framework.
🌩️ tfquery 🌩️ Run SQL queries on your Terraform infrastructure. Ask questions that are hard to answer 🚀 What is tfquery? tfquery is a framework tha
A Research-oriented Federated Learning Library and Benchmark Platform for Graph Neural Networks. Accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks A Research-oriented Federated Learning Library and Benchmark Platform
An implementation of the paper "A Neural Algorithm of Artistic Style"
A Neural Algorithm of Artistic Style implementation - Neural Style Transfer This is an implementation of the research paper "A Neural Algorithm of Art
TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.
TorchFlare TorchFlare is a simple, beginner-friendly and an easy-to-use PyTorch Framework train your models without much effort. It provides an almost
A modular Karton Framework service that unpacks common packers like UPX and others using the Qiling Framework.
Unpacker Karton Service A modular Karton Framework service that unpacks common packers like UPX and others using the Qiling Framework. This project is
A tf.keras implementation of Facebook AI's MadGrad optimization algorithm
MADGRAD Optimization Algorithm For Tensorflow This package implements the MadGrad Algorithm proposed in Adaptivity without Compromise: A Momentumized,
ManipulaTHOR, a framework that facilitates visual manipulation of objects using a robotic arm
ManipulaTHOR: A Framework for Visual Object Manipulation Kiana Ehsani, Winson Han, Alvaro Herrasti, Eli VanderBilt, Luca Weihs, Eric Kolve, Aniruddha
TorchPQ is a python library for Approximate Nearest Neighbor Search (ANNS) and Maximum Inner Product Search (MIPS) on GPU using Product Quantization (PQ) algorithm.
Efficient implementations of Product Quantization and its variants using Pytorch and CUDA
ivadomed is an integrated framework for medical image analysis with deep learning.
Repository on the collaborative IVADO medical imaging project between the Mila and NeuroPoly labs.
Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)
Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)
Focus on Algorithm Design, Not on Data Wrangling
The dataTap Python library is the primary interface for using dataTap's rich data management tools. Create datasets, stream annotations, and analyze model performance all with one library.
An easy-to-use high-performance asynchronous web framework.
An easy-to-use high-performance asynchronous web framework.
AHA is an incident management & communication framework to provide real-time alert customers when there are active AWS event(s). For customers with AWS Organizations, customers can get aggregated active account level events of all the accounts in the Organization. Customers not using AWS Organizations still benefit alerting at the account level.
Table of Contents Introduction Architecture Configuring an Endpoint Creating a Amazon Chime Webhook URL Creating a Slack Webhook URL Creating a Micros
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing
Parallelized symbolic regression built on Julia, and interfaced by Python. Uses regularized evolution, simulated annealing, and gradient-free optimization.
LiuAlgoTrader is a scalable, multi-process ML-ready framework for effective algorithmic trading
LiuAlgoTrader is a scalable, multi-process ML-ready framework for effective algorithmic trading. The framework simplify development, testing, deployment, analysis and training algo trading strategies. The framework automatically analyzes trading sessions, and the analysis may be used to train predictive models.
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Created by Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacc
FedNLP: A Benchmarking Framework for Federated Learning in Natural Language Processing
FedNLP is a research-oriented benchmarking framework for advancing federated learning (FL) in natural language processing (NLP). It uses FedML repository as the git submodule. In other words, FedNLP only focuses on adavanced models and dataset, while FedML supports various federated optimizers (e.g., FedAvg) and platforms (Distributed Computing, IoT/Mobile, Standalone).
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
Multi-Agent-Deep-Deterministic-Policy-Gradients A Pytorch implementation of the multi agent deep deterministic policy gradients(MADDPG) algorithm This
An end-to-end PyTorch framework for image and video classification
What's New: March 2021: Added RegNetZ models November 2020: Vision Transformers now available, with training recipes! 2020-11-20: Classy Vision v0.5 R
A medical imaging framework for Pytorch
Welcome to MedicalTorch MedicalTorch is an open-source framework for PyTorch, implementing an extensive set of loaders, pre-processors and datasets fo
A PyTorch-Based Framework for Deep Learning in Computer Vision
TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision @misc{you2019torchcv, author = {Ansheng You and Xiangtai Li and Zhen Zhu a
PlenOctree Extraction algorithm
PlenOctrees_NeRF-SH This is an implementation of the Paper PlenOctrees for Real-time Rendering of Neural Radiance Fields. Not only the code provides t
Plato: A New Framework for Federated Learning Research
a new software framework to facilitate scalable federated learning research.
A fast python implementation of the SimHash algorithm.
This Python package provides hashing algorithms for computing cohort ids of users based on their browsing history. As such, it may be used to compute cohort ids of users following Google's Federated Learning of Cohorts (FLoC) proposal.
Pytorch implementation of COIN, a framework for compression with implicit neural representations 🌸
COIN 🌟 This repo contains a Pytorch implementation of COIN: COmpression with Implicit Neural representations, including code to reproduce all experim
DLFlow is a deep learning framework.
DLFlow是一套深度学习pipeline,它结合了Spark的大规模特征处理能力和Tensorflow模型构建能力。利用DLFlow可以快速处理原始特征、训练模型并进行大规模分布式预测,十分适合离线环境下的生产任务。利用DLFlow,用户只需专注于模型开发,而无需关心原始特征处理、pipeline构建、生产部署等工作。
Elliot is a comprehensive recommendation framework that analyzes the recommendation problem from the researcher's perspective.
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Django Ninja - Fast Django REST Framework
Django Ninja is a web framework for building APIs with Django and Python 3.6+ type hints.
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
This is the original implementation of our paper, A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem (arXiv:1706.1
Learning to trade under the reinforcement learning framework
Trading Using Q-Learning In this project, I will present an adaptive learning model to trade a single stock under the reinforcement learning framework
Use deep learning, genetic programming and other methods to predict stock and market movements
StockPredictions Use classic tricks, neural networks, deep learning, genetic programming and other methods to predict stock and market movements. Both
Trading environnement for RL agents, backtesting and training.
TradzQAI Trading environnement for RL agents, backtesting and training. Live session with coinbasepro-python is finaly arrived ! Available sessions: L
Water Detect Algorithm
WaterDetect Synopsis WaterDetect is an end-to-end algorithm to generate open water cover mask, specially conceived for L2A Sentinel 2 imagery from MAJ
framework for large-scale SAR satellite data processing
pyroSAR A Python Framework for Large-Scale SAR Satellite Data Processing The pyroSAR package aims at providing a complete solution for the scalable or
PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"
Code for On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models This repository will reproduce the main results from our pape
Repository for the paper "PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation", CVPR 2021.
PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation Code repository for the paper: PoseAug: A Differentiable Pose Augme
SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]
SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021] Pdf: https://openreview.net/forum?id=v5gjXpmR8J Code for our ICLR 2021 pape
Top2Vec is an algorithm for topic modeling and semantic search.
Top2Vec is an algorithm for topic modeling and semantic search. It automatically detects topics present in text and generates jointly embedded topic, document and word vectors.
SimDeblur is a simple framework for image and video deblurring, implemented by PyTorch
SimDeblur (Simple Deblurring) is an open source framework for image and video deblurring toolbox based on PyTorch, which contains most deep-learning based state-of-the-art deblurring algorithms. It is easy to implement your own image or video deblurring or other restoration algorithms.
The deployment framework aims to provide a simple, lightweight, fast integrated, pipelined deployment framework that ensures reliability, high concurrency and scalability of services.
savior是一个能够进行快速集成算法模块并支持高性能部署的轻量开发框架。能够帮助将团队进行快速想法验证(PoC),避免重复的去github上找模型然后复现模型;能够帮助团队将功能进行流程拆解,很方便的提高分布式执行效率;能够有效减少代码冗余,减少不必要负担。
FlaskBB is a Forum Software written in Python using the micro framework Flask.
FlaskBB is a Forum Software written in Python using the micro framework Flask.
Viewflow is an Airflow-based framework that allows data scientists to create data models without writing Airflow code.
Viewflow Viewflow is a framework built on the top of Airflow that enables data scientists to create materialized views. It allows data scientists to f
Framework for abstracting Amiga debuggers and access to AmigaOS libraries and devices.
Framework for abstracting Amiga debuggers. This project provides abstration to control an Amiga remotely using a debugger. The APIs are not yet stable
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning
The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. I
Light, simple RPC framework for Python
Agileutil是一个Python3 RPC框架。基于微服务架构,封装了rpc/http/orm/log等常用组件,提供了简洁的API,开发者可以很快上手,快速进行业务开发。
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
combo: A Python Toolbox for Machine Learning Model Combination Deployment & Documentation & Stats Build Status & Coverage & Maintainability & License
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
scikit-opt Swarm Intelligence in Python (Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Algorithm, Immune Algorithm,A
A simplified framework and utilities for PyTorch
Here is Poutyne. Poutyne is a simplified framework for PyTorch and handles much of the boilerplating code needed to train neural networks. Use Poutyne
General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases.
Vulkan Kompute The general purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabl
A high performance and generic framework for distributed DNN training
BytePS BytePS is a high performance and general distributed training framework. It supports TensorFlow, Keras, PyTorch, and MXNet, and can run on eith