lessw2020 / Best-Deep-Learning-OptimizersLinks
Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable
☆215Updated 4 years ago
Alternatives and similar repositories for Best-Deep-Learning-Optimizers
Users that are interested in Best-Deep-Learning-Optimizers are comparing it to the libraries listed below
Sorting:
- Over9000 optimizer☆426Updated 2 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆78Updated 4 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆276Updated 2 years ago
- Ranger deep learning optimizer rewrite to use newest components☆329Updated last year
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated last year
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆329Updated 2 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated last year
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆180Updated 3 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆187Updated last year
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆485Updated 4 years ago
- Implementation for the Lookahead Optimizer.☆240Updated 3 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆345Updated last year
- Unofficial PyTorch Implementation of EvoNorm☆122Updated 3 years ago
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆159Updated 4 years ago
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆135Updated 2 months ago
- A collection of code snippets for my PyTorch Lightning projects☆107Updated 4 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆322Updated 2 years ago
- Implementation of Feedback Transformer in Pytorch☆107Updated 4 years ago
- Tool box for PyTorch☆188Updated last month
- ☆47Updated 4 years ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆479Updated 2 years ago
- Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)☆218Updated 2 months ago
- PyTorch implementation of L2L execution algorithm☆107Updated 2 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 3 years ago
- pytorch implement of Lookahead Optimizer☆190Updated 2 years ago
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆336Updated 5 years ago
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆225Updated 3 years ago
- Fast Block Sparse Matrices for Pytorch☆545Updated 4 years ago
- Learning to Initialize Neural Networks for Stable and Efficient Training☆139Updated 3 years ago
- Data Reading Blocks for Python☆105Updated 4 years ago