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ml-implementations

mlapp_cn_code

《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。

mmdrl

Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

motiflets

Motiflets

msad

[VLDB 2023] Model Selection for Anomaly Detection in Time Series

multitask-learning

Awesome Multitask Learning Resources

nips2017

ns_federatedlearning

numpy-cn

The Chinese version of numpy's official document

on-off-sketch

pcfs

pfl

Federated learning framework based on Pytorch（基于Pytorch的联邦学习框架）

portia

Visual scraping for Scrapy

ppo-dice

We propose a new way to make policy optimization more stable.

ppo-for-beginners

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

ppo-pytorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

prefair

Code for PreFair and Evaluation

pytorch-actorcriticrl

PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.

pytorch-constrained-policy-optimization-cpo

pytorch-gan

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

pytorch-gan-1

PyTorch implementations of Generative Adversarial Networks.

pytorch-gans

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

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

pytorch-mnist-celeba-cgan-cdcgan

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

re-afl

readingnotes

我的读书笔记，涉及C++、Java、计算机科普、各类文学作品、管理类等书籍，总结其中的知识点和精华，分享给大家，共同学习！！！

recon

Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning

redunet

rein-benchmark

A comprehensive benchmark for data cleaning methods and their impact of ML models