facebookresearch / qmnistLinks
The QMNIST dataset
☆242Updated 3 years ago
Alternatives and similar repositories for qmnist
Users that are interested in qmnist are comparing it to the libraries listed below
Sorting:
- PyTorch functions and utilities to make your life easier☆195Updated 4 years ago
- Implementations of ideas from recent papers☆392Updated 5 years ago
- Concise deep learning for JAX☆183Updated 5 years ago
- Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"☆179Updated 5 years ago
- Equi-normalization of Neural Networks☆116Updated 6 years ago
- ☆306Updated 4 years ago
- Easily evaluate machine learning models on public benchmarks☆172Updated last year
- A set of simple examples ported from PyTorch for Tensorflow Eager Execution☆73Updated 7 years ago
- Implementation for the Lookahead Optimizer.☆243Updated 3 years ago
- Implementation of papers on Deep Seq2seq learning using Pytorch.☆218Updated 6 years ago
- PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and la…☆226Updated 6 years ago
- BiGAN implementation in Keras to detect similarities in Landscapes.☆174Updated 6 years ago
- Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. https://arxiv.org/pdf/1906.03361.pdf☆147Updated 4 years ago
- Complementary code for the Targeted Dropout paper☆255Updated 6 years ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆177Updated 3 years ago
- Tools for loading standard data sets in machine learning☆206Updated 3 years ago
- ☆219Updated 7 years ago
- Deep Learning Projects that Build Themselves☆359Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 6 years ago
- Decoupled Weight Decay Regularization (ICLR 2019)☆285Updated 7 years ago
- Basic experiment framework for tensorflow.☆91Updated 4 years ago
- torchbearer: A model fitting library for PyTorch☆641Updated 2 years ago
- Learning to Compose Domain-Specific Transformations for Data Augmentation☆172Updated 3 years ago
- A cleaner way to build neural networks for PyTorch.☆183Updated 6 years ago
- ☆537Updated 4 years ago
- 🔥 Reproducibly benchmarking Keras and PyTorch models☆367Updated 4 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆194Updated 2 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆214Updated 6 years ago
- Easily benchmark machine learning models in PyTorch☆150Updated last year
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated 3 weeks ago