awslabs / adatuneLinks
Gradient based Hyperparameter Tuning library in PyTorch
☆290Updated 5 years ago
Alternatives and similar repositories for adatune
Users that are interested in adatune are comparing it to the libraries listed below
Sorting:
- Implementation for the Lookahead Optimizer.☆242Updated 3 years ago
- Unit Testing for pytorch, based on mltest☆312Updated 4 years ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆572Updated 3 years ago
- Official code for the Stochastic Polyak step-size optimizer☆139Updated last year
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆183Updated 4 years ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆480Updated 3 years ago
- ☆469Updated 4 months ago
- PyTorch functions and utilities to make your life easier☆194Updated 4 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆326Updated 2 years ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆398Updated 5 years ago
- Python implementation of GLN in different frameworks☆97Updated 5 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆128Updated last year
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆329Updated 3 years ago
- Fast Block Sparse Matrices for Pytorch☆549Updated 4 years ago
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆632Updated 3 years ago
- ☆144Updated 2 years ago
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated 3 weeks ago
- ☆380Updated last year
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data☆304Updated 5 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆279Updated 2 years ago
- Hypergradient descent☆149Updated last year
- ☆183Updated last year
- Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algori…☆249Updated 4 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆216Updated 4 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆589Updated 8 months ago
- Sparse learning library and sparse momentum resources.☆384Updated 3 years ago
- Keras implementation of Legendre Memory Units☆215Updated 2 months ago
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆236Updated 3 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆377Updated last year
- RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, a…☆261Updated 2 years ago