shreyansh26 / Annotated-ML-PapersLinks
Annotations of the interesting ML papers I read
☆266Updated last month
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:
- Neural information retrieval / Semantic search / Bi-encoders☆174Updated 2 years ago
- MinT: Minimal Transformer Library and Tutorials☆259Updated 3 years ago
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch☆171Updated 2 years ago
- Interview Questions and Answers for Machine Learning Engineer role☆116Updated 6 months ago
- An open collection of implementation tips, tricks and resources for training large language models☆489Updated 2 years ago
- NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day☆258Updated 2 years ago
- Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information process…☆241Updated last year
- Repository containing code for "How to Train BERT with an Academic Budget" paper☆316Updated 2 years ago
- All about the fundamental blocks of TF and JAX!☆276Updated 4 years ago
- Module 0 - Fundamentals☆109Updated last year
- Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)☆313Updated 3 years ago
- A walkthrough of transformer architecture code☆371Updated last year
- The "tl;dr" on a few notable transformer papers (pre-2022).☆190Updated 2 years ago
- ☆188Updated last year
- Some notebooks for NLP☆207Updated 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…☆264Updated 3 years ago
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆344Updated 3 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆180Updated 4 years ago
- Project 2 (Building Large Language Models) for Stanford CS324: Understanding and Developing Large Language Models (Winter 2022)☆105Updated 2 years ago
- Website☆57Updated 2 years ago
- Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging F…☆576Updated 2 years ago
- Neural Networks and Deep Learning, NUS CS5242, 2021☆191Updated 4 years ago
- A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch☆235Updated 2 years ago
- A python package for benchmarking interpretability techniques on Transformers.☆214Updated last year
- Language Modeling Example with Transformers and PyTorch Lighting☆65Updated 5 years ago
- The official code of LM-Debugger, an interactive tool for inspection and intervention in transformer-based language models.☆180Updated 3 years ago
- Minimalist BERT implementation assignment for CS11-711☆83Updated 3 years ago
- A tour of different optimization algorithms in PyTorch.☆99Updated 4 years ago
- Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs☆83Updated last year
- Comprehensive NLP Evaluation System☆189Updated last year