yanshanjing's repositories

RankNet-Pytorch

RankNet-Pytorch

ChineseDiachronicCorpus

ChineseDiachronicCorpus,中文历时语料库,横跨六十余年,包括腾讯历时新闻2000-2016,人民日报历时语料1946-2003,参考消息历时语料1957-2002。基于历时流通语料库,可用于历时语言变化计算、语言监测、社会文化变迁研究提供基础性的语料支持。

alpaca-lora

Instruct-tune LLaMA on consumer hardware

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0

alpaca-rlhf

Finetuning alpaca with RLHF (Reinforcement Learning with Human Feedback)

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0

awesome-instruction-dataset

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

Stargazers:0Issues:0Issues:0

awesome-RecSys

Must-read papers on recommendation systems (RecSys)

Language:TeXLicense:Apache-2.0Stargazers:0Issues:1Issues:0

BELLE

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

License:Apache-2.0Stargazers:0Issues:0Issues:0

bert-classification-tf-serving

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

Language:PythonStargazers:0Issues:1Issues:0

computervision-recipes

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

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0

DeepSpeedExamples

Example models using DeepSpeed

License:Apache-2.0Stargazers:0Issues:0Issues:0

generators-with-stylegan2

Here is a series of face generators based on StyleGAN2

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0
License:Apache-2.0Stargazers:0Issues:0Issues:0

image_text_retrieval_BLIP_BLIP2

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

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

imbalanced-dataset-sampler

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

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

Kats

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 characteristics, detecting change points and anomalies, to forecasting future trends.

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

ML-Model-CI

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

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

nanoGPT

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

License:MITStargazers:0Issues:0Issues:0

pytorch-project-template

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

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

Reco-papers

Classic papers and resources on recommendation

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

Recommender-System

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

Language:PythonStargazers:0Issues:1Issues:0

recommenders

Best Practices on Recommendation Systems

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0

RSPapers

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)

Stargazers:0Issues:1Issues:0

RSPapers-1

Must-read papers on Recommender System.

License:MITStargazers:0Issues:1Issues:0

self-rewarding-lm-pytorch

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

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

so-vits-svc

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

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

stanford_alpaca

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

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

trl

Train transformer language models with reinforcement learning.

License:Apache-2.0Stargazers:0Issues:0Issues:0

trlx

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

License:MITStargazers:0Issues:0Issues:0

vit-pytorch

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

Language:PythonLicense:MITStargazers:0Issues:1Issues:0