lhoien Goto Github PK

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

deeplearningsystem

Deep Learning System core principles introduction.

diffusion-models

扩散模型原理和pytorch代码实现初学资料汇总

diffusion_vit

PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"

drl4recsys

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

key-book

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。在线阅读地址：https://datawhalechina.github.io/key-book/

learngit

paper-with-code-of-wireless-communication-based-on-dl

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

pypots

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation, classification, clustering, forecasting, & anomaly detection on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

radiomap-uav

recommenders

Best Practices on Recommendation Systems

rencommend_system_learning

research-method

论文写作与资料分享

robust

soundchat

Android app to transfer data over sound waves

sparse-reward-algorithms

Implement many Sparse Reward algorithms in Gym Fetch environment

testlcy

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

u-vit1

A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".

x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers