zheng547

GCOPTER

A General-Purpose Trajectory Optimizer for Multicopters

geomstats

Computations and statistics on manifolds with geometric structures.

HowToLiveLonger

程序员延寿指南 | A programmer's guide to live longer

PRML

PRML algorithms implemented in Python

Deep_Learning_Based_Power_Control

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

Deep-Learning-Papers-Reading-Roadmap

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

nmt

TensorFlow Neural Machine Translation Tutorial

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

evolution-strategies-starter

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

trfl

TensorFlow Reinforcement Learning

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

Matlab-code-TGCN-Mar2018

Matlab code of the paper: T. N. Do, D. B. da Costa, T. Q. Duong, and B. An, “Improving the performance of cell-edge users in MISO-NOMA systems using TAS and SWIPT-based cooperative transmissions,” IEEE Transactions on Green Communications and Networking, vol. 2, no. 1, pp. 49–62, Mar. 2018.

Matlab-code-TCOM-2018

Matlab code of the paper: T. N. Do, D. B. da Costa, T. Q. Duong, and B. An, “Improving the Performance of Cell-Edge Users in NOMA Systems Using Cooperative Relaying,” IEEE Transactions on Communications, vol. 66, no. 5, pp. 1883–1901, May 2018.

reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

DP3

Deep Point Process by PyTorch

ENAS-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

Awesome-pytorch-list

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

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

MAAC

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

catalyst

Accelerated deep learning R&D

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

DeepRL

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

homework

Assignments for CS294-112.

agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Paper-with-Code-of-Wireless-communication-Based-on-DL

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

PA_TWC