Reading list for research topics in multimodal machine learning

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Grid2Op a testbed platform to model sequential decision making in power systems.

PyTorch implementations of deep reinforcement learning algorithms and environments

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

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

TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

Must-read papers on graph neural networks (GNN)

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

Multi-class confusion matrix library in Python

TensorFlow - A curated list of dedicated resources http://tensorflow.org

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Modularized Implementation of Deep RL Algorithms in PyTorch

Curated list of awesome GAN applications and demo

Python Implementation of Reinforcement Learning: An Introduction

Hyperparameter Experiments with TensorFlow and Keras

Repo for the Deep Reinforcement Learning Nanodegree program

PyTorch implementations of Generative Adversarial Networks.

A faster pytorch implementation of faster r-cnn

📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

Image augmentation library in Python for machine learning.

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Visualizations for machine learning datasets