zhiyuan-ning

zhiyuan-ning's Stars

• ahangchen/torch_base

  Quickly bring up your PyTorch project(a skeleton)

  Language:Python728124

• 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, ... 🧠

  Language:Python59.8k6.1k

• lartpang/PyTorchTricks

  Some tricks of pytorch... :star:

  1.2k128

• luyug/Dense

  A toolkit for building dense retrievers with deep language models.

  Language:Python607

• texttron/tevatron

  Tevatron - A flexible toolkit for neural retrieval research and development.

  Language:Python580105

• jbmouret/matplotlib_for_papers

  Handout for the tutorial "Creating publication-quality figures with matplotlib"

  Language:Jupyter Notebook2.2k305

• luong-komorebi/Begin-Latex-in-minutes

  📜 Brief Intro to LaTeX for beginners that helps you use LaTeX with ease.

  3.3k265

• lucidrains/linear-attention-transformer

  Transformer based on a variant of attention that is linear complexity in respect to sequence length

  Language:Python75571

• nico-zck/zotero-scholar-citations

  Language:JavaScript782

• FreedomIntelligence/Medical_NLP

  Medical NLP Competition, dataset, large models, paper

  2.3k422

• awebson/prompt_semantics

  This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”

  Language:Python856

• louisfb01/start-machine-learning

  A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

  4.7k610

• facebookresearch/XLM

  PyTorch original implementation of Cross-lingual Language Model Pretraining.

  Language:Python2.9k494

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.8k369

• nschloe/dufte

  :chart_with_upwards_trend: Minimalistic Matplotlib style

  Language:Python2165

• harvardnlp/annotated-transformer

  An annotated implementation of the Transformer paper.

  Language:Jupyter Notebook6.1k1.3k

• s-nlp/annotated-transformer

  http://nlp.seas.harvard.edu/2018/04/03/attention.html

  Language:Jupyter Notebook62

• princeton-nlp/LM-BFF

  [ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

  Language:Python728132

• shmsw25/Channel-LM-Prompting

  An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"

  Language:Python13118

• lucidrains/x-transformers

  A concise but complete full-attention transformer with a set of promising experimental features from various papers

  Language:Python5.2k447

• trekhleb/learn-python

  📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

  Language:Python16.8k2.8k

• PegasusWang/python-web-guide

  python/golang -web入坑指南

  Language:CSS690214

• jerry-git/learn-python3

  Jupyter notebooks for teaching/learning Python 3

  Language:HTML6.6k1.8k

• norvig/pytudes

  Python programs, usually short, of considerable difficulty, to perfect particular skills.

  Language:Jupyter Notebook23.4k2.4k

• huggingface/knockknock

  🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

  Language:Python2.8k235

• replicate/keepsake

  Version control for machine learning

  Language:Python1.7k71

• facebookresearch/hydra

  Hydra is a framework for elegantly configuring complex applications

  Language:Python9.2k672

• IntelLabs/academic-budget-bert

  Repository containing code for "How to Train BERT with an Academic Budget" paper

  Language:Python31246

• ashleve/lightning-hydra-template

  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

  Language:Python4.6k683

• pfliu-nlp/NLPedia-Pretrain

  39734