fab-jul / hdf5_dataloaderLinks
DataLoader subclass for PyTorch to work with HDF5 files.
☆49Updated 6 years ago
Alternatives and similar repositories for hdf5_dataloader
Users that are interested in hdf5_dataloader are comparing it to the libraries listed below
Sorting:
- An implementation of shampoo☆75Updated 7 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- ☆71Updated 5 years ago
- Image-to-image translation with flow-based generative model☆64Updated 6 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆83Updated 3 years ago
- an implementation of L0 regularization with PyTorch☆57Updated 7 years ago
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆97Updated 5 years ago
- CCAs for looking into DNNs☆70Updated 4 years ago
- Pytorch Implementation of the Kernel Convolution AKA Kervolution Layer from Kervolutional Neural Networks (https://arxiv.org/pdf/1904.039…☆41Updated 6 years ago
- Notes from NeurIPS 2019☆29Updated 5 years ago
- Implementation of the reversible residual network in pytorch☆105Updated 3 years ago
- A machine learning library for PyTorch☆93Updated 2 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support☆93Updated 7 years ago
- Code accompanying the paper "Geometric GAN"☆57Updated 8 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆99Updated 4 years ago
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆92Updated 6 years ago
- Official repository for "Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps".☆34Updated 5 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 6 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Python way to Read/Write TFRecords☆64Updated 7 years ago
- Code for Variational Laplace Autoencoders☆54Updated 2 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…☆72Updated 6 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆87Updated 4 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated 2 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- Proceedings of ICML 2019☆33Updated 2 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago