An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

Share Some Recommender System Paper I read.

Recommender Learning with Tensorflow2.x

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

Stable Diffusion web UI

A playbook for systematically maximizing the performance of deep learning models.

This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of artificial intelligence

Pytorch implementation of multitask CycleGAN with auxiliary classification loss

A small repo containing code from a variety of sources (cited in the README.md) for the purpose of latent space exploration!