dpressel / mintLinks
MinT: Minimal Transformer Library and Tutorials
☆256Updated 3 years ago
Alternatives and similar repositories for mint
Users that are interested in mint are comparing it to the libraries listed below
Sorting:
- Annotations of the interesting ML papers I read☆243Updated last week
- Module 0 - Fundamentals☆105Updated 10 months ago
- A walkthrough of transformer architecture code☆351Updated last year
- A pure-functional implementation of a machine learning transformer model in Python/JAX☆179Updated 2 months ago
- FasterAI: Prune and Distill your models with FastAI and PyTorch☆249Updated last month
- The "tl;dr" on a few notable transformer papers (pre-2022).☆190Updated 2 years ago
- A library to inspect and extract intermediate layers of PyTorch models.☆473Updated 3 years ago
- Check if you have training samples in your test set☆64Updated 3 years ago
- An alternative to convolution in neural networks☆256Updated last year
- All about the fundamental blocks of TF and JAX!☆274Updated 3 years ago
- An interactive exploration of Transformer programming.☆266Updated last year
- All about the fundamentals and working of Diffusion Models☆158Updated 2 years ago
- deep learning with pytorch lightning☆1Updated 8 months ago
- Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research…☆324Updated this week
- A python package for benchmarking interpretability techniques on Transformers.☆213Updated 9 months ago
- Memory mapped numpy arrays of varying shapes☆299Updated last year
- 100 exercises to learn JAX☆584Updated 3 years ago
- Docs☆144Updated 8 months ago
- Host repository for the "Reproducible Deep Learning" PhD course☆407Updated 3 years ago
- Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)☆187Updated 3 years ago
- Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)☆311Updated 2 years ago
- Enabling easy statistical significance testing for deep neural networks.☆337Updated last year
- Functional deep learning☆108Updated 2 years ago
- Named tensors with first-class dimensions for PyTorch☆332Updated 2 years ago
- Interview Questions and Answers for Machine Learning Engineer role☆120Updated 2 months ago
- Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy☆128Updated 2 years ago
- git extension for {collaborative, communal, continual} model development☆215Updated 8 months ago
- Rax is a Learning-to-Rank library written in JAX.☆331Updated 2 months ago
- Convert scikit-learn models to PyTorch modules☆163Updated last year
- Cyclemoid implementation for PyTorch☆90Updated 3 years ago