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

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

An elegant PyTorch deep reinforcement learning library.

Pytorch implementation of convolutional neural network visualization techniques

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

5G Mobile Networks -- Micro-book

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

AEDT Python Client Package

This is an official repository of the paper, "Neural Adaptive Content-aware Internet Video Delivery"