LaihoE / did-it-spill
Check if you have training samples in your test set
☆64Updated 2 years ago
Alternatives and similar repositories for did-it-spill:
Users that are interested in did-it-spill are comparing it to the libraries listed below
- Functional deep learning☆108Updated 2 years ago
- The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends☆77Updated 5 months ago
- HetSeq: Distributed GPU Training on Heterogeneous Infrastructure☆106Updated last year
- Data Twinning☆24Updated 2 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
- Framework-agnostic library for checking array/tensor shapes at runtime.☆46Updated 4 years ago
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆156Updated 2 years ago
- A python package for benchmarking interpretability techniques on Transformers.☆212Updated 7 months ago
- A case study of efficient training of large language models using commodity hardware.☆69Updated 2 years ago
- ☆153Updated 4 years ago
- My implementation of DeepMind's Perceiver☆63Updated 4 years ago
- ☆103Updated 4 years ago
- The most parameter efficient machine learning models on a few popular benchmarks☆42Updated 2 years ago
- Vectorizers for a range of different data types☆101Updated 2 months ago
- Code for scaling Transformers☆26Updated 4 years ago
- Distributed skorch on Ray Train☆57Updated 2 years ago
- ☆108Updated 2 years ago
- Lite Inference Toolkit (LIT) for PyTorch☆161Updated 3 years ago
- A pure-functional implementation of a machine learning transformer model in Python/JAX☆177Updated this week
- Lightweight ML Experiment Logging 📖☆80Updated 8 months ago
- A 🤗-style implementation of BERT using lambda layers instead of self-attention☆69Updated 4 years ago
- ☆30Updated 3 years ago
- Module 0 - Fundamentals☆102Updated 8 months ago
- Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'☆38Updated 3 years ago
- Enabling easy statistical significance testing for deep neural networks.☆335Updated 10 months ago
- a lightweight transformer library for PyTorch☆71Updated 3 years ago
- Implementation of the GBST block from the Charformer paper, in Pytorch☆116Updated 3 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆180Updated 3 years ago
- GPT, but made only out of MLPs☆88Updated 3 years ago
- A Pytree Module system for Deep Learning in JAX☆214Updated 2 years ago