ImperialNLP / NLPLabs-2023Links
Lab sessions for NLP course
☆20Updated 2 years ago
Alternatives and similar repositories for NLPLabs-2023
Users that are interested in NLPLabs-2023 are comparing it to the libraries listed below
Sorting:
- List of ML conferences with important dates and accepted paper list☆138Updated 3 months ago
- Interpretability for sequence generation models 🐛 🔍☆432Updated 3 months ago
- A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP☆940Updated 10 months ago
- Implementation of the first paper on word2vec☆236Updated 3 years ago
- Official implementation of QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data☆30Updated 3 weeks ago
- Natural Language Processing Courses with Resources☆37Updated 9 months ago
- ☆181Updated last year
- A reading list of up-to-date papers on NLP for Social Good.☆303Updated last year
- PyTorch implementation of some attentions for Deep Learning Researchers.☆534Updated 3 years ago
- Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020☆124Updated 2 years ago
- The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…☆749Updated last year
- Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2…☆253Updated last year
- Official style files for papers submitted to venues of the Association for Computational Linguistics☆1,154Updated 2 weeks ago
- Stanford NLP Python library for understanding and improving PyTorch models via interventions☆786Updated last week
- A comprehensive collection of research groups around the world for Natural Language☆31Updated 6 years ago
- A reading list for papers on causality for natural language processing (NLP)☆660Updated 2 months ago
- Cheat sheets for UCL's 2018/19 machine learning modules☆63Updated 6 years ago
- ☆658Updated this week
- Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023☆2,940Updated 4 months ago
- The course notes about Stanford CS224n Natural Language Processing with Deep Learning Winter 2019 (using PyTorch)☆51Updated last year
- Summaries of courses in the AI Master programme at UvA☆180Updated 3 years ago
- Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.☆1,364Updated last year
- Implementation of https://srush.github.io/annotated-s4☆500Updated last month
- explainable Siamese sentence transformers☆12Updated last year
- This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.☆164Updated last year
- Course to learn the basics of self supervised learning☆16Updated 11 months ago
- UCL Module: Applied Deep Learning☆61Updated 6 months ago
- This repository collects all relevant resources about interpretability in LLMs☆368Updated 9 months ago
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆622Updated last week
- Notebooks for the Practicals at the Deep Learning Indaba 2024.☆68Updated 11 months ago