minitorch / Module-0Links
Module 0 - Fundamentals
☆104Updated 10 months ago
Alternatives and similar repositories for Module-0
Users that are interested in Module-0 are comparing it to the libraries listed below
Sorting:
- MinT: Minimal Transformer Library and Tutorials☆256Updated 2 years ago
- Docs☆144Updated 7 months ago
- Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale, TACL (2022)☆127Updated 3 weeks ago
- The "tl;dr" on a few notable transformer papers (pre-2022).☆190Updated 2 years ago
- A pure-functional implementation of a machine learning transformer model in Python/JAX☆179Updated 2 months ago
- A case study of efficient training of large language models using commodity hardware.☆68Updated 2 years ago
- An interactive exploration of Transformer programming.☆265Updated last year
- A minimal implementation of autograd (in pure Python) 🍰☆96Updated 3 years ago
- Annotations of the interesting ML papers I read☆243Updated last week
- ☆108Updated 2 years ago
- ☆103Updated 4 years ago
- HetSeq: Distributed GPU Training on Heterogeneous Infrastructure☆106Updated 2 years ago
- Framework-agnostic library for checking array/tensor shapes at runtime.☆46Updated 4 years ago
- Resources from the EleutherAI Math Reading Group☆53Updated 4 months ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago
- Code for the Shortformer model, from the ACL 2021 paper by Ofir Press, Noah A. Smith and Mike Lewis.☆147Updated 3 years ago
- Check if you have training samples in your test set☆64Updated 3 years ago
- A library to create and manage configuration files, especially for machine learning projects.☆78Updated 3 years ago
- Functional deep learning☆108Updated 2 years ago
- Parallel data preprocessing for NLP and ML.☆34Updated 8 months ago
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆388Updated this week
- Silly twitter torch implementations.☆46Updated 2 years ago
- ☆440Updated 8 months ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago
- Toy implementations of some popular ML optimizers using Python/JAX☆44Updated 4 years ago
- Functional local implementations of main model parallelism approaches☆95Updated 2 years ago
- ☆153Updated 5 years ago
- Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François…☆180Updated 3 years ago
- a lightweight transformer library for PyTorch☆72Updated 3 years ago
- HomebrewNLP in JAX flavour for maintable TPU-Training☆50Updated last year