YoZo-X

YoZo-X's Stars

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.8k1.1k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.6k4.1k

• L1aoXingyu/pytorch-beginner

  pytorch tutorial for beginners

  Language:Python3k1.1k

• google-deepmind/sonnet

  TensorFlow-based neural network library

  Language:Python9.8k1.3k

• brain-research/self-attention-gan

  Language:Python1k174

• rosinality/vq-vae-2-pytorch

  Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

  Language:Python1.7k277

• brain-research/acai

  Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"

  Language:Python24433

• ivan-vasilev/Python-Deep-Learning-SE

  Code repository for Python Deep Learning Second Edition, published by Packt

  Language:Python3818

• HumanCompatibleAI/imitation

  Clean PyTorch implementations of imitation and reward learning algorithms

  Language:Python1.4k253

• DerrickXuNu/Learn-Carla

  Learn how to use CARLA with basic APIs

  Language:Python478103

• deepsense-ai/carla-real-traffic-scenarios

  Language:Python7923

• ucla-mobility/OpenCDA

  A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

  Language:Python1k204

• carla-simulator/carla

  Open-source simulator for autonomous driving research.

  Language:C++11.8k3.8k

• shenweichen/DeepMatch

  A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

  Language:Python2.3k534

• shenweichen/DeepCTR

  Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

  Language:Python7.6k2.2k

• princewen/tensorflow_practice

  tensorflow实战练习，包括强化学习、推荐系统、nlp等

  Language:Python6.8k3.3k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.5k3.1k

• Greatandy/leetcode

  8547

• AI4Finance-Foundation/ElegantRL

  Massively Parallel Deep Reinforcement Learning. 🔥

  Language:Python3.8k855

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.6k8k

• libertyeagle/LISA

  Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation

  Language:Python111

• hijkzzz/pymarl2

  Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

  Language:Python644126

• j3soon/dfac

  [ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning

  Language:Python303

• suragnair/alpha-zero-general

  A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

  Language:Jupyter Notebook4k1.1k

• koulanurag/marl-pytorch

  Pytorch Implementations of Multi Agent Reinforcement Learning(marl) algorithms

  Language:Python51

• notadamking/Stock-Trading-Environment

  A custom OpenAI gym environment for simulating stock trades on historical price data.

  Language:Python805296

• LantaoYu/MARL-Papers

  Paper list of multi-agent reinforcement learning (MARL)

  4.1k735

• oxwhirl/pymarl

  Python Multi-Agent Reinforcement Learning framework

  Language:Python1.9k390

• starry-sky6688/MARL-Algorithms

  Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

  Language:Python1.5k286

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  14k1.4k