zhiyuan-ning's Stars
ant-research/KnowledgeGraphEmbeddingsViaPairedRelationVectors_PairRE
pengyanhui/LineaRE
facebookresearch/ssl-relation-prediction
Simple yet SoTA Knowledge Graph Embeddings.
MathInf/toroidal
a lightweight transformer library for PyTorch
facebookresearch/dpr-scale
Scalable training for dense retrieval models.
facebookresearch/xformers
Hackable and optimized Transformers building blocks, supporting a composable construction.
luyug/GC-DPR
Train Dense Passage Retriever (DPR) with a single GPU
facebookresearch/DPR
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
zhuzilin/NP_ML
A tool library of classical machine learning algorithms with only numpy.
thunlp/OpenPrompt
An Open-Source Framework for Prompt-Learning.
ahangchen/torch_base
Quickly bring up your PyTorch project(a skeleton)
labmlai/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, ... 🧠
lartpang/PyTorchTricks
Some tricks of pytorch... :star:
luyug/Dense
A toolkit for building dense retrievers with deep language models.
texttron/tevatron
Tevatron - A flexible toolkit for neural retrieval research and development.
jbmouret/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
luong-komorebi/Begin-Latex-in-minutes
📜 Brief Intro to LaTeX for beginners that helps you use LaTeX with ease.
lucidrains/linear-attention-transformer
Transformer based on a variant of attention that is linear complexity in respect to sequence length
nico-zck/zotero-scholar-citations
FreedomIntelligence/Medical_NLP
Medical NLP Competition, dataset, large models, paper
awebson/prompt_semantics
This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
louisfb01/start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
facebookresearch/XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
nschloe/dufte
:chart_with_upwards_trend: Minimalistic Matplotlib style
harvardnlp/annotated-transformer
An annotated implementation of the Transformer paper.
s-nlp/annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
princeton-nlp/LM-BFF
[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723
shmsw25/Channel-LM-Prompting
An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"