shreyansh26 / Annotated-ML-PapersLinks
Annotations of the interesting ML papers I read
☆250Updated 3 weeks ago
Alternatives and similar repositories for Annotated-ML-Papers
Users that are interested in Annotated-ML-Papers are comparing it to the libraries listed below
Sorting:
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch☆170Updated 2 years ago
- Neural information retrieval / Semantic search / Bi-encoders☆173Updated 2 years ago
- MinT: Minimal Transformer Library and Tutorials☆256Updated 3 years ago
- An open collection of implementation tips, tricks and resources for training large language models☆478Updated 2 years ago
- Interview Questions and Answers for Machine Learning Engineer role☆119Updated 3 months ago
- All about the fundamental blocks of TF and JAX!☆276Updated 3 years ago
- The "tl;dr" on a few notable transformer papers (pre-2022).☆190Updated 2 years ago
- Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information process…☆239Updated last year
- NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day☆256Updated last year
- A walkthrough of transformer architecture code☆353Updated last year
- A tour of different optimization algorithms in PyTorch.☆99Updated 3 years ago
- Repository containing code for "How to Train BERT with an Academic Budget" paper☆314Updated last year
- ☆182Updated last year
- Some notebooks for NLP☆207Updated last year
- Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)☆311Updated 2 years ago
- This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those coo…☆260Updated 3 years ago
- Deep Learning for Natural Language Processing - Lectures 2023☆174Updated 11 months ago
- Module 0 - Fundamentals☆106Updated 11 months ago
- Course for Interpreting ML Models☆52Updated 2 years ago
- this is where we share notebooks/projects used in your youtube channel☆148Updated 4 years ago
- Project 2 (Building Large Language Models) for Stanford CS324: Understanding and Developing Large Language Models (Winter 2022)☆105Updated 2 years ago
- A collection of resources to study Transformers in depth.☆544Updated last year
- Host repository for the "Reproducible Deep Learning" PhD course☆406Updated 3 years ago
- Minimalist BERT implementation assignment for CS11-711☆83Updated 2 years ago
- Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging F…☆575Updated last year
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆341Updated 3 years ago
- Website☆54Updated 2 years ago
- Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs☆82Updated last year
- Language Modeling Example with Transformers and PyTorch Lighting☆65Updated 4 years ago
- PDFs and Codelabs for the Efficient Deep Learning book.☆195Updated 2 years ago