Alternatives and similar repositories for toolkit

Users that are interested in toolkit are comparing it to the libraries listed below

• Lightning-Universe / paper-AAVAE
  ☆47Updated 2 years ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆96Updated 2 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆84Updated 3 years ago
• j-towns / vdvae-jax
  Very deep VAEs in JAX/Flax
  ☆46Updated 4 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆85Updated 4 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 5 years ago
• ranjaykrishna / easyturk
  Make quick mechanical turk HTML/Javascript interfaces and launch them with Python functions
  ☆41Updated 4 years ago
• borisdayma / lightning-kitti
  Semantic Segmentation with Pytorch-Lightning
  ☆63Updated 4 years ago
• stanford-futuredata / equivariant-transformers
  Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…
  ☆92Updated 6 years ago
• akandykeller / TopographicVAE
  Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"
  ☆80Updated 3 years ago
• ananyahjha93 / libself
  PyTorch Lightning based framework to run experiments for self-supervised learning tasks.
  ☆10Updated 5 years ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆101Updated 5 years ago
• srush / parallax
  ☆153Updated 5 years ago
• Vermeille / Torchelie
  Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
  ☆110Updated last month
• vfdev-5 / FixMatch-pytorch
  Implementation of FixMatch in PyTorch and experimentations
  ☆12Updated 5 years ago
• ParthaEth / Regularized_autoencoders-RAE-
  ☆124Updated 2 years ago
• awaelchli / pytorch-lightning-snippets
  A collection of code snippets for my PyTorch Lightning projects
  ☆107Updated 4 years ago
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• arrigonialberto86 / set_transformer
  A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'
  ☆31Updated last year
• SirRob1997 / Crowded-Valley---Results
  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
  ☆184Updated 4 years ago
• johnhw / differentiable_sorting
  Differentiable bitonic sorting
  ☆141Updated 5 years ago
• theRealSuperMario / supermariopy
  python library, scripts and notebooks that are usfull from time to time
  ☆44Updated 3 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆128Updated last year
• MathInf / toroidal
  a lightweight transformer library for PyTorch
  ☆72Updated 3 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• iKernels / transformers-lightning
  A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…
  ☆47Updated 2 years ago
• ServiceNow / synbols
  The Synbols dataset generator is a ServiceNow Research project that was started at Element AI.
  ☆45Updated 2 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 7 years ago
• facebookresearch / qhoptim
  Implementations of quasi-hyperbolic optimization algorithms.
  ☆102Updated 5 years ago