A latent text-to-image diffusion model

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.

A scikit-learn compatible neural network library that wraps PyTorch

Simplified implementations of deep learning related works

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

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Reinforcement Learning examples implementation and explanation

【火炉炼AI】-机器学习系列文章

Deep Reinforcement Learning with Python, Second Edition, published by Packt

Hands-On Graph Analytics with Neo4j, Published by Packt

Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data

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. …

Reinforcement Learning,NLP,VAE,CNN,Stock,Economic,Review,Quant