lonePatient / lookahead_pytorchLinks
pytorch implement of Lookahead Optimizer
☆190Updated 3 years ago
Alternatives and similar repositories for lookahead_pytorch
Users that are interested in lookahead_pytorch are comparing it to the libraries listed below
Sorting:
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆337Updated 5 years ago
- Over9000 optimizer☆426Updated 2 years ago
- Implementation and experiments for AdamW on Pytorch☆94Updated 5 years ago
- Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆408Updated 11 months ago
- Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization☆183Updated 3 years ago
- Implementations of ideas from recent papers☆392Updated 4 years ago
- Implementation of https://arxiv.org/abs/1904.00962☆377Updated 4 years ago
- Implementation for the Lookahead Optimizer.☆240Updated 3 years ago
- Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. https://arxiv.org/pdf/1906.03361.pdf☆148Updated 3 years ago
- Mish Deep Learning Activation Function for PyTorch / FastAI☆161Updated 5 years ago
- lookahead optimizer for keras☆170Updated 5 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
- A New Optimization Technique for Deep Neural Networks☆538Updated 3 years ago
- Unofficial PyTorch Implementation of EvoNorm☆122Updated 3 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆59Updated 5 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆212Updated 5 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆215Updated 4 years ago
- Utilities for Pytorch☆89Updated 2 years ago
- torchsummaryX: Improved visualization tool of torchsummary☆303Updated 3 years ago
- wrapping a keras optimizer to implement gradient accumulation☆119Updated 4 years ago
- Cyclic learning rate TensorFlow implementation.☆66Updated 6 years ago
- Using the CLR algorithm for training (https://arxiv.org/abs/1506.01186)☆108Updated 7 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆188Updated last year
- Keras callback function for stochastic weight averaging☆56Updated 3 years ago
- a simple pytorch implement of Multi-Sample Dropout☆57Updated 5 years ago
- Decoupled Weight Decay Regularization (ICLR 2019)☆276Updated 6 years ago
- Accelerate training by storing parameters in one contiguous chunk of memory.☆291Updated 4 years ago
- My PyTorch project template (for Kaggle and research)☆147Updated 6 years ago
- High-level batteries-included neural network training library for Pytorch☆402Updated 3 years ago
- Virtual Adversarial Training (VAT) implementation for PyTorch☆296Updated 6 years ago