lessw2020 / Best-Deep-Learning-OptimizersLinks
Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable
☆217Updated 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:
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆208Updated last year
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆184Updated 4 years ago
- Over9000 optimizer☆424Updated 2 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated last year
- Ranger deep learning optimizer rewrite to use newest components☆336Updated last year
- Easy-to-use AdaHessian optimizer (PyTorch)☆79Updated 4 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆486Updated 4 years ago
- Unofficial PyTorch Implementation of EvoNorm☆122Updated 4 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆330Updated 3 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆282Updated 2 years ago
- Implementation for the Lookahead Optimizer.☆243Updated 3 years ago
- Official code for the Stochastic Polyak step-size optimizer☆139Updated last year
- A collection of code snippets for my PyTorch Lightning projects☆107Updated 4 years ago
- Implementation of Feedback Transformer in Pytorch☆108Updated 4 years ago
- Learning to Initialize Neural Networks for Stable and Efficient Training☆139Updated 3 years ago
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆160Updated 4 years ago
- a lightweight transformer library for PyTorch☆72Updated 3 years ago
- Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload☆129Updated 3 years ago
- 🎲 Iterable dataset resampling in PyTorch☆92Updated 3 years ago
- PyTorch functions and utilities to make your life easier☆194Updated 4 years ago
- ☆47Updated 4 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆187Updated last year
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆482Updated 3 years ago
- Data Reading Blocks for Python☆105Updated 4 years ago
- Repo to build on / reproduce the record breaking Ranger-Mish-SelfAttention setup on FastAI ImageWoof dataset 5 epochs☆116Updated 5 years ago
- EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax☆128Updated last year
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆141Updated 6 months ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆349Updated last year
- ☆382Updated last year
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated last month