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A scikit-learn compatible neural network library that wraps PyTorch
Simplified implementations of deep learning related works
This is a repository of public data sources for Recommender Systems (RS).
Reinforcement Learning,NLP,VAE,CNN,Stock,Economic,Review,Quant
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
PyTorch code and models for V-JEPA self-supervised learning from video.
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Reinforcement Learning examples implementation and explanation
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Deep Reinforcement Learning with Python, Second Edition, published by Packt
Advanced Deep Learning with Keras, published by Packt
Bioinformatics with Python Cookbook, Third Edition
Hands-On Graph Analytics with Neo4j, Published by Packt
《Reinforcement Learning: An Introduction》（第二版）中文翻译
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
This repository explains how to predict customer churn. An Hackathon Organized by Data Science Nigeria(DSN-AI) to help Expresso predict customer Churn. My 2nd place solution, log_loss of 0.246675. …
MachineLearningSamples-ChurnPrediction
Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data
统计学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual