Lightweight version of MAPPO to help you quickly migrate to your local environment.

This is the official implementation of Multi-Agent PPO (MAPPO).

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

周易算卦小程序

Python logging made (stupidly) simple

整体的介绍 FastAPI，快速上手开发，结合 API 交互文档逐个讲解核心模块的使用。视频学习地址：

“合肥高新杯”心电人机智能大赛 —— 心电异常事件预测 TOP1 Solution

Fast and Accurate ML in 3 Lines of Code

linux C++ 服务器/后台开发 秋招整理资料

Decision Tree with PEP,MEP,EBP,CVP,REP,CCP,ECP pruning algorithms,all are implemented with Python(sklearn-decision-tree-prune included,All are finished).

A python library for decision tree visualization and model interpretation.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Transfer Learning JDA and TrAdaboost

Apply deep reinforcement learning methods including DQN, DDPG for traffic light control in simulation (discrete environment), to prove the 'Green Wave' phenomenon in intelligent traffic system.

Haroopad - The Next Document processor based on Markdown

A simple framework for distributed reinforcement learning in PyTorch.

Project of Reinforcement Learning course

SJTU CS489 homework

Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

Simple code tutorial for deep belief network (DBN)

利用深度RBM构建多分类模型

graduation design DBN + SVM

RBM/DBN implementation with tensorflow attempt project

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

Dataset for active learning for concept prerequisite learning

This document contains two parts, the experimental code and the experimental data used. The data are from Talukdar and Cohen. 2012, whose article is "Crowdsourced Comprehension: Predicting Prerequi…

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

An OSX print to pdf-file printer driver