A curated list of awesome Machine Learning frameworks, libraries and software.

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

PyTorch Tutorial for Deep Learning Researchers

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

The fundamental package for scientific computing with Python.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Image-to-Image Translation in PyTorch

Code for the paper "Language Models are Unsupervised Multitask Learners"

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Graph Neural Network Library for PyTorch

Optional static typing for Python

Never use print for debugging again

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Low-code framework for building custom LLMs, neural networks, and other AI models

🐍 Geometric Computer Vision Library for Spatial AI

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait..…

A collection of machine learning examples and tutorials.

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

A system for quickly generating training data with weak supervision

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

Imaging, analysis, and simulation software for radio interferometry

A collection of important graph embedding, classification and representation learning papers with implementations.

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

DeepVis Toolbox

A Python toolbox for performing gradient-free optimization

Simple PyTorch Tutorials Zero to ALL!

An Open-Source Package for Knowledge Embedding (KE)

A tool for extracting plain text from Wikipedia dumps

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…