awaelchli / pytorch-lightning-snippetsLinks
A collection of code snippets for my PyTorch Lightning projects
☆108Updated 4 years ago
Alternatives and similar repositories for pytorch-lightning-snippets
Users that are interested in pytorch-lightning-snippets are comparing it to the libraries listed below
Sorting:
- Implementation of Feedback Transformer in Pytorch☆107Updated 4 years ago
- Configuration classes enabling type-safe PyTorch configuration for Hydra apps☆219Updated 2 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆330Updated 3 years ago
- The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends☆77Updated 7 months ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆180Updated 3 years ago
- Deep Learning project template best practices with Pytorch Lightning, Hydra, Tensorboard.☆159Updated 4 years ago
- TF 2.x and PyTorch Lightning Callbacks for GPU monitoring☆92Updated 5 years ago
- Simple tooling for marking deprecated functions or classes and re-routing to the new successors' instance.☆50Updated this week
- Pytorch Lightning seed project with hydra☆18Updated 4 years ago
- Official code for the Stochastic Polyak step-size optimizer☆139Updated last year
- A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…☆47Updated 2 years ago
- Research boilerplate for PyTorch.☆149Updated 2 years ago
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data☆304Updated 4 years ago
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated 6 months ago
- An active learning library for Pytorch based on Lightning-Fabric.☆79Updated last year
- PyTorch functions and utilities to make your life easier☆195Updated 4 years ago
- Functional deep learning☆108Updated 2 years ago
- GPT, but made only out of MLPs☆89Updated 4 years ago
- An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up proc…☆193Updated 4 years ago
- HetSeq: Distributed GPU Training on Heterogeneous Infrastructure☆105Updated 2 years ago
- ☆103Updated 4 years ago
- 🎲 Iterable dataset resampling in PyTorch☆91Updated 3 years ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 4 years ago
- Visualising the Transformer encoder☆111Updated 4 years ago
- Learning to Initialize Neural Networks for Stable and Efficient Training☆139Updated 3 years ago
- a lightweight transformer library for PyTorch☆72Updated 3 years ago
- Unit Testing for pytorch, based on mltest☆310Updated 4 years ago
- ☆153Updated 5 years ago
- Metrics for model evaluation in pytorch☆113Updated 4 years ago
- ☆54Updated 4 years ago