tangmhmhmh

tangmhmhmh's Stars

• tangmhmhmh/K-Lane

  The World's First Large Scale Lidar Lane Detection Dataset and Benchmark

  1

• fengdu78/lihang-code

  《统计学习方法》的代码实现

  Language:Jupyter Notebook19k6.3k

• tangmhmhmh/irl-maxent

  Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python

  1

• hoangminhle/hierarchical_IL_RL

  Code for hierarchical imitation learning and reinforcement learning

  Language:Python28774

• tangmhmhmh/Inverse-Reinforcement-Learning

  Implementations of selected inverse reinforcement learning algorithms.

  Language:Python1

• yuanxiaosc/Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy

  This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基于Numpy的实现。

  Language:Python7721

• tangmhmhmh/Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy

  This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基于Numpy的实现。

  Language:Python1

• sychaichangkun/ROS-Academy-for-Beginners

  **大学MOOC《机器人操作系统入门》代码示例 ROS tutorial

  Language:CMake1.3k1.2k

• princewen/tensorflow_practice

  tensorflow实战练习，包括强化学习、推荐系统、nlp等

  Language:Python6.7k3.3k

• xpharry/dqn-adaptive-cruise

  Thesis Project: Apply Deep Q-Network to develop an Adaptive Cruise Control and Lane Control agent.

  Language:Python209

• candidcloud/Learning-to-Drive

  Project for M633: Implementations of Q-learning and Reinforcement Learning

  Language:Python2