Alternatives and similar repositories for AdaptiveOptim

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

• drimpossible / Deep-Expander-Networks
  Implementation of our ECCV '18 paper " Deep Expander Networks: Efficient Deep Networks from Graph Theory".
  ☆42Updated 5 years ago
• facebookresearch / DeepConvexity
  Easing non-convex optimization with neural networks.
  ☆23Updated 7 years ago
• edouardoyallon / scalingscattering
  ☆82Updated 8 years ago
• taki0112 / CNN-Architecture-Summary
  Simple Summary of CNN Architecture
  ☆34Updated 7 years ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆56Updated 6 years ago
• Learning-and-Intelligent-Systems / Analytical-Learning-Theory
  97.39% on CIFAR10 with PyTorch
  ☆15Updated 6 years ago
• Lucas2012 / ProbabilisticNeuralProgrammedNetwork
  Code for "Probabilistic Neural Programmed Networks for Scene Generation.", Deng et al, NIPS 2018
  ☆40Updated last year
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆40Updated last year
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• Wizaron / binary-stochastic-neurons
  Binary Stochastic Neurons in PyTorch
  ☆57Updated 7 years ago
• human-analysis / pytorchnet
  Generalized Framework for PyTorch
  ☆32Updated 3 years ago
• simplespy / SCAN-from-betaVAE
  Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
  ☆21Updated 7 years ago
• dot-delta / Meta-SGD
  Meta-SGD Algorithms Implementation
  ☆22Updated last year
• sbelharbi / learning-class-invariant-features
  Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
  ☆12Updated 8 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 7 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 7 years ago
• RobRomijnders / bayes_nn
  Uncertainty interpretations of the neural network
  ☆32Updated 7 years ago
• songzhaozhe / Model-Architecture-Search-Paper-List
  A summary of my recently surveyed papers. Some papers on Arxiv with unimpressive results are not included.
  ☆25Updated 7 years ago
• po0ya / csgan
  Task-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)
  ☆31Updated 7 years ago
• vsyrgkanis / optimistic_GAN_training
  ☆46Updated 7 years ago
• jwyang / stnm.pytorch
  Pytorch code for spatial transformer network with mask
  ☆31Updated 6 years ago
• haseebs / Pseudo-rehearsal-Incremental-Learning
  Pytorch implementation of paper "Distillation Techniques for Pseudo-rehearsal Based Incremental Learning"
  ☆14Updated 6 years ago
• goldsborough / pytorch-cpp-extension
  PyTorch C++ Extension Example
  ☆15Updated 7 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 6 years ago
• bingchenlll / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 6 years ago
• Randl / improved-improved-wgan-pytorch
  Implementation of "Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect" in pytorch
  ☆37Updated 6 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 4 years ago
• karanchahal / SaliencyMapper
  Pytorch implementation of Real Time Image Saliency for Black Box Classifiers https://arxiv.org/abs/1705.07857
  ☆59Updated 6 years ago
• Healbadbad / curveball-pytorch
  An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch
  ☆21Updated 7 years ago
• arthurmensch / g-softmax
  Pytorch package for geometric softmax
  ☆12Updated 6 years ago