mgrankin / over9000Links
Over9000 optimizer
☆425Updated 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☆403Updated 3 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆330Updated 3 years ago
- Implementations of ideas from recent papers☆392Updated 4 years ago
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆337Updated 6 years ago
- PyTorch Boilerplate For Research☆607Updated 3 years ago
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,206Updated last year
- Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)☆287Updated 5 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆214Updated 6 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆217Updated 4 years ago
- torchbearer: A model fitting library for PyTorch☆641Updated last year
- Streaming over lightweight data transformations☆265Updated 5 months ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated last year
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!☆378Updated 3 years ago
- Stochastic Weight Averaging in PyTorch☆977Updated 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
- RAdam implemented in Keras & TensorFlow☆326Updated 3 years ago
- Efficient Learning of Augmentation Policy Schedules☆508Updated 6 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
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆573Updated 3 years ago
- ☆536Updated 3 years ago
- pytorch implement of Lookahead Optimizer☆195Updated 3 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆349Updated last year
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆313Updated 5 years ago
- Compute receptive fields of your favorite convnets☆447Updated 4 years ago
- Implementation for the Lookahead Optimizer.☆242Updated 3 years ago
- Library for faster pinned CPU <-> GPU transfer in Pytorch☆683Updated 5 years ago
- Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. https://arxiv.org/pdf/1906.03361.pdf☆147Updated 3 years ago
- A New Optimization Technique for Deep Neural Networks☆541Updated 3 years ago
- Code snippets created for the PyTorch discussion board☆570Updated 4 years ago