davidcpage / cifar10-fastLinks
☆536Updated 4 years ago
Alternatives and similar repositories for cifar10-fast
Users that are interested in cifar10-fast are comparing it to the libraries listed below
Sorting:
- ☆306Updated 4 years ago
- Implementations of ideas from recent papers☆392Updated 5 years ago
- Efficient Learning of Augmentation Policy Schedules☆508Updated 6 years ago
- Stochastic Weight Averaging in PyTorch☆977Updated 4 years ago
- A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.☆721Updated 5 years ago
- PyTorch layer-by-layer model profiler☆607Updated 4 years ago
- ConvNet training using pytorch☆349Updated 4 years ago
- Library for faster pinned CPU <-> GPU transfer in Pytorch☆683Updated 5 years ago
- Sparse learning library and sparse momentum resources.☆384Updated 3 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆315Updated 6 years ago
- Code snippets created for the PyTorch discussion board☆570Updated 4 years ago
- A drop-in replacement for CIFAR-10.☆247Updated 4 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆631Updated 5 years ago
- Compute receptive fields of your favorite convnets☆449Updated 4 years ago
- Totally Versatile Miscellanea for Pytorch☆475Updated 3 years ago
- torchbearer: A model fitting library for PyTorch☆641Updated 2 years ago
- Experimental ground for optimizing memory of pytorch models☆366Updated 7 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆239Updated 4 years ago
- Implementation for the Lookahead Optimizer.☆243Updated 3 years ago
- Tutorial for building a custom CUDA function for Pytorch☆521Updated 6 years ago
- Standardizing weights to accelerate micro-batch training☆549Updated 3 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆433Updated 2 years ago
- Over9000 optimizer☆424Updated 3 years ago
- Complementary code for the Targeted Dropout paper☆256Updated 6 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆396Updated 5 years ago
- A Re-implementation of Fixed-update Initialization☆155Updated 6 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆332Updated 2 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆510Updated 5 years ago
- high performance image loading and augmenting routines mimicking PIL.Image interface☆319Updated 4 years ago
- Estimates the size of a PyTorch model in memory☆359Updated 5 years ago