An opinionated list of awesome Python frameworks, libraries, software and resources.

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

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Image-to-Image Translation in PyTorch

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

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Code samples for my book "Neural Networks and Deep Learning"

A list of all named GANs!

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Python Implementation of Reinforcement Learning: An Introduction

NLTK Source

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…

A paper list of object detection using deep learning.

An open access book on scientific visualization using python and matplotlib

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

TensorFlow-based neural network library

Deep learning library featuring a higher-level API for TensorFlow.

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

A faster pytorch implementation of faster r-cnn

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Implementation of Graph Convolutional Networks in TensorFlow

Progressive Growing of GANs for Improved Quality, Stability, and Variation

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

Learning to Learn in TensorFlow

Deformable Convolutional Networks