Alternatives and similar repositories for toolkit

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

• ananyahjha93 / libself
  PyTorch Lightning based framework to run experiments for self-supervised learning tasks.
  ☆10Updated 5 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 5 years ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆96Updated 3 years ago
• Lightning-Universe / paper-AAVAE
  ☆47Updated 2 years ago
• srush / parallax
  ☆153Updated 5 years ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆101Updated 5 years ago
• borisdayma / lightning-kitti
  Semantic Segmentation with Pytorch-Lightning
  ☆63Updated 4 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆84Updated 3 years ago
• ranjaykrishna / easyturk
  Make quick mechanical turk HTML/Javascript interfaces and launch them with Python functions
  ☆41Updated 4 years ago
• awaelchli / pytorch-lightning-snippets
  A collection of code snippets for my PyTorch Lightning projects
  ☆107Updated 4 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
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆86Updated 4 years ago
• shreyansh26 / ML-Optimizers-JAX
  Toy implementations of some popular ML optimizers using Python/JAX
  ☆44Updated 4 years ago
• fsschneider / DeepOBS
  DeepOBS: A Deep Learning Optimizer Benchmark Suite
  ☆108Updated last year
• akandykeller / TopographicVAE
  Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"
  ☆80Updated 3 years ago
• j-towns / vdvae-jax
  Very deep VAEs in JAX/Flax
  ☆46Updated 4 years ago
• facebookresearch / qhoptim
  Implementations of quasi-hyperbolic optimization algorithms.
  ☆102Updated 5 years ago
• david-abel / neurips_2019
  Notes from NeurIPS 2019
  ☆29Updated 5 years ago
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 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
• g-benton / loss-surface-simplexes
  ☆100Updated 3 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 6 years ago
• zomux / dlmonitor
  ☆156Updated last month
• uber-research / loss-change-allocation
  ☆61Updated 2 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
• uber-research / Synthetic-Petri-Dish
  ☆42Updated 5 years ago
• theRealSuperMario / supermariopy
  python library, scripts and notebooks that are usfull from time to time
  ☆44Updated 4 years ago