Alternatives and similar repositories for pytorch-tvmisc:

Users that are interested in pytorch-tvmisc are comparing it to the libraries listed below

• jhjacobsen / pytorch-i-revnet
  i-RevNet Pytorch Code
  ☆392Updated 4 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆527Updated 9 months ago
• BayesWatch / sequential-imagenet-dataloader
  A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.
  ☆239Updated 3 years ago
• silvandeleemput / memcnn
  PyTorch Framework for Developing Memory Efficient Deep Invertible Networks
  ☆255Updated last year
• kevinzakka / pytorch-goodies
  PyTorch Boilerplate For Research
  ☆609Updated 3 years ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆382Updated 2 years ago
• ptrblck / pytorch_misc
  Code snippets created for the PyTorch discussion board
  ☆561Updated 4 years ago
• sootlasten / disentangled-representation-papers
  A curated list of research papers related to learning disentangled representations
  ☆464Updated 5 years ago
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆241Updated 3 years ago
• pytorch / contrib
  Implementations of ideas from recent papers
  ☆393Updated 4 years ago
• renmengye / revnet-public
  Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"
  ☆360Updated 6 years ago
• prigoyal / pytorch_memonger
  Experimental ground for optimizing memory of pytorch models
  ☆365Updated 7 years ago
• dfdazac / wassdistance
  Approximating Wasserstein distances with PyTorch
  ☆459Updated 2 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆423Updated 2 years ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆583Updated 3 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆269Updated last year
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆373Updated last year
• loeweX / Greedy_InfoMax
  Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
  ☆285Updated 2 years ago
• pclucas14 / pixel-cnn-pp
  Pytorch Implementation of OpenAI's PixelCNN++
  ☆347Updated 4 years ago
• awwong1 / torchprof
  PyTorch layer-by-layer model profiler
  ☆607Updated 3 years ago
• dalmia / siren
  PyTorch implementation of Sinusodial Representation networks (SIREN)
  ☆264Updated 2 years ago
• bayesgroup / variational-dropout-sparsifies-dnn
  Sparse Variational Dropout, ICML 2017
  ☆312Updated 4 years ago
• pluskid / fitting-random-labels
  Example code for the paper "Understanding deep learning requires rethinking generalization"
  ☆178Updated 4 years ago
• karpathy / pytorch-made
  MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
  ☆552Updated 6 years ago
• gpeyre / SinkhornAutoDiff
  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
  ☆441Updated 6 years ago
• locuslab / pytorch_fft
  PyTorch wrapper for FFTs
  ☆316Updated 6 years ago
• Schlumberger / joint-vae
  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
  ☆464Updated 6 years ago
• jzbontar / pixelcnn-pytorch
  ☆122Updated 5 years ago
• timgaripov / dnn-mode-connectivity
  Mode Connectivity and Fast Geometric Ensembles in PyTorch
  ☆270Updated 2 years ago
• OctoberChang / MMD-GAN
  MMD-GAN: Towards Deeper Understanding of Moment Matching Network
  ☆198Updated last year