houxiao's Stars
Tencent/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
tensorlayer/text-antispam
商用级垃圾文本分类器
deep-learning-with-pytorch/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
zergtant/pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
zhoubolei/introRL
Intro to Reinforcement Learning (强化学习纲要)
SciSharp/Torch.NET
.NET bindings for PyTorch. Machine Learning with C# / F# with Multi-GPU/CPU support
SciSharp/Numpy.NET
C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI
migueldeicaza/TensorFlowSharp
TensorFlow API for .NET languages
abeisgoat/tf-jam
Tensor Jam: Shooting Hoops with Machine Learning
NoneGG/aredis
redis client for Python asyncio (has support for redis server, sentinel and cluster)
glample/Arnold
Arnold - DOOM Agent
llSourcell/Landing-a-SpaceX-Falcon-Heavy-Rocket
This is the code for "Landing a SpaceX Falcon Heavy Rocket" By Siraj Raval on Youtube
Unity-Technologies/ml-agents
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 learning and imitation learning.
PatrykChrabaszcz/Canonical_ES_Atari
Benchmarking Canonical Evolution Strategies for Playing Atari
hardmaru/estool
Evolution Strategies Tool
google-deepmind/lab
A customisable 3D platform for agent-based AI research
openai/evolution-strategies-starter
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
latitudegames/AIDungeon
Infinite adventures await!
angusfung/population-based-training
Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
evil-huawei/evil-huawei
Evil Huawei - 华为作过的恶
bytedance/byteps
A high performance and generic framework for distributed DNN training
Holy-Shine/PrefixSpan-py
Data mining algorithm PrefixSpan based on Python/数据挖掘算法PrefixSpan的简单Python实现
takmanx/pyprefixspan
pyprefixspan - Python implementation for the algorithm PrefixSpan (Prefix-projected Sequential Pattern mining).
chuanconggao/PrefixSpan-py
The shortest yet efficient Python implementation of the sequential pattern mining algorithm PrefixSpan, closed sequential pattern mining algorithm BIDE, and generator sequential pattern mining algorithm FEAT.
openai/multi-agent-emergence-environments
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
google-deepmind/scalable_agent
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.