Python Implementation of Reinforcement Learning: An Introduction

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

LSTM, RNN and GRU implementations using Pytorch

精益副业：程序员如何优雅地做副业

Using Low-rank adaptation to quickly fine-tune diffusion models.

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

OmniXAI: A Library for eXplainable AI

Parallel computing with task scheduling

Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction

kaggle 2014 criteo ctr竞赛方案整理 https://www.kaggle.com/c/criteo-display-ad-challenge

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Reimplementation of Style2Paints V3

sketch + style = paints 🎨 (TOG2018/SIGGRAPH2018ASIA)

Visualizations for machine learning datasets

Magenta: Music and Art Generation with Machine Intelligence

Scalable, Portable and Distributed Gradient Boosting

xgboost在线预测

This repo contains a few tree based boosting algorithms implemented in python from scratch. This code relates to a medium.com article which I wrote explaining my journey to understanding how XGBoos…

A Python wrapper for XGBoost4J-Spark classes.

AI100文本分类竞赛代码。从传统机器学习到深度学习方法的测试

Minimal library code to deploy XGBoost models in C++.

Extension of the awesome XGBoost to linear models at the leaves

Probabilistic prediction with XGBoost.

A flexible, high-performance serving system for machine learning models

Distributed XGBoost on Ray

Improving XGBoost survival analysis with embeddings and debiased estimators

The best and simplest free open source web page change detection, website watcher, restock monitor and notification service. Restock Monitor, change detection. Designed for simplicity - Simply moni…

Web Scraping Framework

A Powerful Spider(Web Crawler) System in Python.

使用 attention 实现 nlp 和 cv 相关模型。