Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI

Experiments with LAVIS library to perform image2text and text2image retrieval with BLIP and BLIP2 models

so-vits-svc fork with realtime support, improved interface and more features.

Finetuning alpaca with RLHF (Reinforcement Learning with Human Feedback)

Train transformer language models with reinforcement learning.

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Example models using DeepSpeed

A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)

BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

Instruct-tune LLaMA on consumer hardware

Code and documentation to train Stanford's Alpaca models, and generate the data.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cycle…

Here is a series of face generators based on StyleGAN2

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Deep Learning project template for PyTorch (Distributed Learning is supported)

MLModelCI is a complete platform for managing, converting, profiling, and deploying models as cloud services (MLaaS)

Classic papers and resources on recommendation

Must-read papers on Recommender System.

Must-read papers on recommendation systems (RecSys)

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Best Practices, code samples, and documentation for Computer Vision.

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

Best Practices on Recommendation Systems

Must-read papers on Recommender System. 推荐系统相关论文整理（内含40篇论文，并持续更新中）

Use BERT to train a classification model and deploy the model by tensorflow serving