Yingfei(Jeremy) Xiang (SuperXiang)

SuperXiang

Geek Repo

Company:Baidu, Inc.

Location:Shenzhen, Guangdong, China

Home Page:https://scholar.google.com/citations?user=7n2td58AAAAJ

Twitter:@YingfeiX

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Yingfei(Jeremy) Xiang's repositories

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

License:MITStargazers:1Issues:0Issues:0

be_great

A novel approach for synthesizing tabular data using pretrained large language models

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

BELLE

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

License:Apache-2.0Stargazers:1Issues:0Issues:0

Chinese-LLaMA-Alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

License:Apache-2.0Stargazers:1Issues:0Issues:0

CLAP

Contrastive Language-Audio Pretraining

Language:PythonLicense:CC0-1.0Stargazers:1Issues:0Issues:0

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

License:MITStargazers:1Issues:0Issues:0

how-to-train-tokenizer

怎么训练一个LLM分词器

Stargazers:1Issues:0Issues:0

InstructEval

Evaluation suite for the systematic evaluation of instruction selection methods.

Stargazers:1Issues:0Issues:0

llm-foundry

LLM training code for MosaicML foundation models

License:Apache-2.0Stargazers:1Issues:0Issues:0

lm-human-preferences

Code for the paper Fine-Tuning Language Models from Human Preferences

License:MITStargazers:1Issues:0Issues:0

LM-RMT

Recurrent Memory Transformer

License:Apache-2.0Stargazers:1Issues:0Issues:0

long_llama

LongLLaMA is a large language model capable of handling long contexts. It is based on OpenLLaMA and fine-tuned with the Focused Transformer (FoT) method.

License:Apache-2.0Stargazers:1Issues:0Issues:0
License:MITStargazers:1Issues:0Issues:0

mlmc

Code for fine-tuning transformers (XLNet, Bert and GPT-2) on binary, multi-class and multi-label sequence classification tasks.

Stargazers:1Issues:0Issues:0

multipack_sampler

Multipack distributed sampler for fast padding-free training of LLMs

License:MITStargazers:1Issues:0Issues:0

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

License:Apache-2.0Stargazers:1Issues:0Issues:0

sentencepiece_chinese_bpe

使用sentencepiece中BPE训练中文词表,并在transformers中进行使用。

Stargazers:1Issues:0Issues:0

sharegpt

Easily share permanent links to ChatGPT conversations with your friends

Language:TypeScriptLicense:MITStargazers:1Issues:0Issues:0

Stable-Alignment

Multi-agent Social Simulation + Efficient, Effective, and Stable alternative of RLHF. Code for the paper "Training Socially Aligned Language Models in Simulated Human Society".

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

Transnormer

[EMNLP 2022] Official implementation of Transnormer in our EMNLP 2022 paper - The Devil in Linear Transformer

Stargazers:1Issues:0Issues:0

trl

Train transformer language models with reinforcement learning.

License:Apache-2.0Stargazers:1Issues:0Issues:0

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

License:MITStargazers:1Issues:0Issues:0

VardaGPT

Associative memory-enhanced GPT-2 model

Stargazers:1Issues:0Issues:0

langchain

⚡ Building applications with LLMs through composability ⚡

License:MITStargazers:0Issues:0Issues:0

llama

Inference code for LLaMA models

License:NOASSERTIONStargazers:0Issues:0Issues:0

llm3s-conatiner

large language model training-3-stages+deployment

Language:PythonStargazers:0Issues:0Issues:0

olm-datasets

Pipeline for pulling and processing online language model pretraining data from the web

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

PdfGptIndexer

An efficient tool for indexing and searching PDF text data using OpenAI API and FAISS (Facebook AI Similarity Search) index, designed for rapid information retrieval and superior search accuracy.

License:MITStargazers:0Issues:0Issues:0

torchscale

Transformers at any scale

License:MITStargazers:0Issues:0Issues:0