mgrankin / over9000Links
Over9000 optimizer
☆426Updated 2 years ago
Alternatives and similar repositories for over9000
Users that are interested in over9000 are comparing it to the libraries listed below
Sorting:
- High-level batteries-included neural network training library for Pytorch☆402Updated 3 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆215Updated 4 years ago
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆337Updated 5 years ago
- Repo to build on / reproduce the record breaking Ranger-Mish-SelfAttention setup on FastAI ImageWoof dataset 5 epochs☆116Updated 5 years ago
- pytorch implement of Lookahead Optimizer☆190Updated 3 years ago
- Mish Deep Learning Activation Function for PyTorch / FastAI☆161Updated 5 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆188Updated last year
- Implementations of ideas from recent papers☆393Updated 4 years ago
- Stochastic Weight Averaging in PyTorch☆974Updated 3 years ago
- Standardizing weights to accelerate micro-batch training☆549Updated 3 years ago
- RAdam implemented in Keras & TensorFlow☆325Updated 3 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆212Updated 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
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated last year
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆329Updated 3 years ago
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,202Updated last year
- 🛠 Toolbox to extend PyTorch functionalities☆421Updated last year
- Ranger deep learning optimizer rewrite to use newest components☆331Updated last year
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!☆377Updated 2 years ago
- PyTorch Boilerplate For Research☆609Updated 3 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆348Updated last year
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆989Updated 3 weeks ago
- Implementation for the Lookahead Optimizer.☆240Updated 3 years ago
- A New Optimization Technique for Deep Neural Networks☆538Updated 3 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆313Updated 5 years ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆570Updated 3 years ago
- Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)☆287Updated 4 years ago
- Implementation of https://arxiv.org/abs/1904.00962☆376Updated 4 years ago
- Semi-supervised ImageNet1K models☆243Updated 5 years ago
- Kaggle | 9th place single model solution for TGS Salt Identification Challenge☆280Updated 6 years ago