lessw2020 / Best-Deep-Learning-Optimizers
Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable
☆210Updated 3 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
- Over9000 optimizer☆425Updated 2 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆77Updated 4 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆328Updated 2 years ago
- Ranger deep learning optimizer rewrite to use newest components☆325Updated 11 months ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆187Updated 8 months ago
- Implementation for the Lookahead Optimizer.☆240Updated 2 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated 8 months ago
- Implementation of Nyström Self-attention, from the paper Nyströmformer☆124Updated 11 months ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆317Updated last year
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆483Updated 3 years ago
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆159Updated 3 years ago
- pytorch implement of Lookahead Optimizer☆188Updated 2 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆347Updated 11 months ago
- Unofficial PyTorch Implementation of EvoNorm☆121Updated 3 years ago
- A collection of code snippets for my PyTorch Lightning projects☆107Updated 4 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆270Updated last year
- ☆47Updated 4 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆101Updated 3 years ago
- Implementation of Feedback Transformer in Pytorch☆105Updated 3 years ago
- Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neu…☆149Updated 5 years ago
- Learning to Initialize Neural Networks for Stable and Efficient Training☆138Updated 2 years ago
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆256Updated 3 years ago
- Implementation of Online Label Smoothing in PyTorch☆95Updated 2 years ago
- PyTorch implementation of L2L execution algorithm☆107Updated 2 years ago
- A LARS implementation in PyTorch☆338Updated 4 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆317Updated last year
- Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. https://arxiv.org/pdf/1906.03361.pdf☆148Updated 3 years ago
- Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload☆125Updated 2 years ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆473Updated 2 years ago
- A pytorch dataset sampler for always sampling balanced batches.☆111Updated 3 years ago