本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Pytorch🍊🍉 is delicious, just eat it! 😋😋

Python code for common Machine Learning Algorithms

《深入浅出图神经网络：GNN原理解析》配套代码

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Pape…

Python client for Batfish: https://github.com/batfish/batfish

深度学习代码

The 300 lines of code (Tensorflow 2) completely replicates the Transformer model and is used in neural machine translation tasks and chat bots. 300行代码（Tensorflow 2）完整复现了Transformer模型，并且应用在神经机器翻译任务和…

LangChain for LLM Application Development 学习笔记。#LLM #LangChain #ChatGPT #OpenAI

Class Incremental learning, Task Incremental Learning

Collection of pytorch example networks in jupyter notebooks

基于统计机器学习模型（最大熵模型、马尔科夫模型、条件随机场）和深度学习模型LSTM-CRF的中文分词（BIO）