Alternatives and similar repositories for differentiable_sorting:

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

• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆185Updated last year
• vene / sparsemap
  SparseMAP: differentiable sparse structure inference
  ☆111Updated 6 years ago
• google / gumbel_sinkhorn
  ☆75Updated 7 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆77Updated 2 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆146Updated 11 months ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆100Updated 4 years ago
• akosiorek / forge
  Basic experiment framework for tensorflow.
  ☆92Updated 3 years ago
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 7 years ago
• KhrulkovV / geometry-score
  ☆117Updated 6 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆67Updated 6 years ago
• hal3 / macarico
  learning to search in pytorch
  ☆110Updated 5 years ago
• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆42Updated 6 years ago
• jmtomczak / vae_vpflows
  Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling
  ☆91Updated 7 years ago
• uber-research / intrinsic-dimension
  ☆219Updated 6 years ago
• pclucas14 / pytorch-glow
  Pytorch Implementation of OpenAI's GLOW
  ☆94Updated 4 years ago
• ajbrock / BoilerPlate
  Odds and Ends and Things I've implemented.
  ☆78Updated 6 years ago
• golkar / backdrop
  Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.
  ☆68Updated 6 years ago
• lezcano / expRNN
  Optimization with orthogonal constraints and on general manifolds
  ☆128Updated 4 years ago
• bamos / setGPU
  Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.
  ☆106Updated 2 years ago
• robintibor / generative-reversible
  ☆32Updated 6 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆84Updated 5 years ago
• oval-group / mlogger
  a lightweight and simple logger for Machine Learning
  ☆127Updated 4 years ago
• duvenaud / relax
  Optimizing control variates for black-box gradient estimation
  ☆163Updated 5 years ago
• amirgholami / anode
  [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
  ☆104Updated 4 years ago
• srush / parallax
  ☆153Updated 4 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆83Updated 3 years ago
• LeviViana / torch_sampling
  Efficient reservoir sampling implementation for PyTorch
  ☆106Updated 3 years ago
• clvrai / Generative-Latent-Optimization-Tensorflow
  Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research
  ☆95Updated 7 years ago