achaiah / pywick
High-level batteries-included neural network training library for Pytorch
☆397Updated 3 years ago
Alternatives and similar repositories for pywick:
Users that are interested in pywick are comparing it to the libraries listed below
- Over9000 optimizer☆427Updated 2 years ago
- Implementations of ideas from recent papers☆392Updated 4 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated last year
- torchbearer: A model fitting library for PyTorch☆638Updated last year
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆510Updated 5 years ago
- Efficient Learning of Augmentation Policy Schedules☆505Updated 5 years ago
- Streaming over lightweight data transformations☆266Updated 4 months ago
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!☆377Updated 2 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆213Updated 5 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆310Updated 5 years ago
- Deep Learning Experiment Management☆640Updated 2 years ago
- Gradient based receptive field estimation for Convolutional Neural Networks☆338Updated 5 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆585Updated 3 years ago
- RAdam implemented in Keras & TensorFlow☆325Updated 3 years ago
- Library for faster pinned CPU <-> GPU transfer in Pytorch☆685Updated 5 years ago
- Standardizing weights to accelerate micro-batch training☆547Updated 3 years ago
- Mish Deep Learning Activation Function for PyTorch / FastAI☆161Updated 4 years ago
- PyTorch Boilerplate For Research☆609Updated 3 years ago
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆334Updated 5 years ago
- Kaggle | 9th place single model solution for TGS Salt Identification Challenge☆279Updated 6 years ago
- A New Optimization Technique for Deep Neural Networks☆535Updated 3 years ago
- Stochastic Weight Averaging in PyTorch☆969Updated 3 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆593Updated 4 years ago
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,197Updated last year
- Repo to build on / reproduce the record breaking Ranger-Mish-SelfAttention setup on FastAI ImageWoof dataset 5 epochs☆116Updated 5 years ago
- Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' pap…☆399Updated 6 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆187Updated 10 months ago
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,039Updated 3 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆984Updated this week
- pytorch implement of Lookahead Optimizer☆189Updated 2 years ago