shengdinghu Goto Github PK

api_use

arxiv2readpaper

bmcook

Model Compression for Big Models

bmprinciples

A collection of phenomenons observed during the scaling of big foundation models, which may be developed into consensus, principles, or laws in the future

bmtools

chatgptbot

clrs

📚Solutions to Introduction to Algorithms Third Edition

coco-caption

compacter

dart

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

evals

Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

gnnpapers

Must-read papers on graph neural networks (GNN)

gpt-world

A simulation of world using GPTs. (depreciated)

graphpolicynetworkactivelearning

The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"

helloworld

my first git repository

jekyll-theme-solid

🐤 A simple and clean jekyll theme without javascript

jointnre

Joint Neural Relation Extraction with Text and KGs

knowledge_graph_reasoning_papers

Must-read papers on knowledge graph reasoning

kqapro_baselines

Pytorch implementation of baseline models of KQA Pro, a large-scale dataset of complex question answering over knowledge base.

langchain

⚡ Building applications with LLMs through composability ⚡

macaw

Multi-angle c(q)uestion answering

megatron-deepspeed

Ongoing research training transformer language models at scale, including: BERT & GPT-2

muse

A library for Multilingual Unsupervised or Supervised word Embeddings

mzlogin.github.io

:speak_no_evil: My Blog / Jekyll Themes

nanogpt_cl

The simplest, fastest repository for training/finetuning medium-sized GPTs, customized for tsinghua CL

opendelta

Implementation of various parameter efficient methods.

opendelta-1

A plug-and-play library for parameter-efficient-tuning (Delta Tuning)

openke

An Open-Source Package for Knowledge Embedding (KE)