angel272shaw's starred repositories
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
PlotNeuralNet
Latex code for making neural networks diagrams
Deterministic-Policy-Gradient
Reinforcement Learning methods for Continuos Control
tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
DDPG-Keras-Torcs
Using Keras and Deep Deterministic Policy Gradient to play TORCS
matconvnet
MatConvNet: CNNs for MATLAB
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
AdaptiveCriticDesigns
ACD project
adaptive-critic-designs
Matlab Source for fundamental adaptive critic designs
cyclegan-1
Tensorflow implementation of CycleGANs
gym-mupen64plus
An OpenAI Gym environment wrapper for the Mupen64Plus N64 emulator
HighwayEnv
A minimalist environment for decision-making in autonomous driving
TensorFlow-Course
:satellite: Simple and ready-to-use tutorials for TensorFlow
AutonomousDrivingCookbook
Scenarios, tutorials and demos for Autonomous Driving
PYTORCH_LEARNING
书籍:深度学习框架pytorch入门与实践
Recursive-least-squares
Python implementation of RLS with forgetting
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
deeplearning_ai_books
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Deep-Learning-21-Examples
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers