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

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

PyTorch implementations of deep reinforcement learning algorithms and environments

Repo for the Deep Reinforcement Learning Nanodegree program

:satellite: All You Need to Know About Deep Learning - A kick-starter

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

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

Accelerated deep learning R&D

:satellite: Organized Resources for Deep Learning Researchers and Developers

Hands-on Deep Reinforcement Learning, published by Packt

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking (CTR/CVR prediction), Post Ranking, Relevance, LLM, Reinforcement Learning and so on.

A list of recent papers regarding deep reinforcement learning

A replica of the AlphaZero methodology for deep reinforcement learning in Python

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

List of projects for 3d reconstruction

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Deep learning inference nodes for ROS / ROS2 with support for NVIDIA Jetson and TensorRT

Learning Deep Representations of Data Distributions

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

A list of papers and resources dedicated to deep reinforcement learning

由淺入深的深度學習資源 Collection of deep learning materials for everyone

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]