Alternatives and similar repositories for ibsgd:

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

• ravidziv / IDNNs
  explore DNNs via Infomration
  ☆259Updated 4 years ago
• alexalemi / vib_demo
  ☆89Updated 3 years ago
• stevenliuyi / information-bottleneck
  demonstration of the information bottleneck theory for deep learning
  ☆61Updated 7 years ago
• nvcuong / variational-continual-learning
  Implementation of the variational continual learning method
  ☆190Updated 5 years ago
• reiinakano / invariant-risk-minimization
  Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
  ☆85Updated 5 years ago
• djstrouse / information-bottleneck
  a python implementation of various versions of the information bottleneck, including automated parameter searching
  ☆122Updated 4 years ago
• artemyk / nonlinearIB
  Nonlinear Information Bottleneck
  ☆54Updated 2 years ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆109Updated 5 years ago
• avirmaux / lipEstimation
  ☆58Updated last year
• conormdurkan / neural-statistician
  PyTorch Implementation of Neural Statistician
  ☆60Updated 3 years ago
• damaru2 / ntk
  NTK reading group
  ☆88Updated 5 years ago
• 1Konny / VIB-pytorch
  Pytorch implementation of Deep Variational Information Bottleneck
  ☆183Updated 6 years ago
• mrtnoshad / EDGE
  EDGE: Scalable and optimum mutual information estimator for high-dimensional applications including deep learning
  ☆40Updated 2 years ago
• microsoft / deterministic-variational-inference
  Sample code for running deterministic variational inference to train Bayesian neural networks
  ☆100Updated 6 years ago
• ganguli-lab / pathint
  Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017
  ☆100Updated 6 years ago
• prolearner / hypertorch
  ☆121Updated 8 months ago
• igolan / bgd
  Implementation of Bayesian Gradient Descent
  ☆37Updated last year
• brain-research / ncp
  Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
  ☆63Updated 4 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆145Updated 8 months ago
• ermongroup / smile-mi-estimator
  PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"
  ☆74Updated 5 years ago
• adityashrm21 / information-theory-deep-learning
  Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning
  ☆42Updated 6 years ago
• nitarshan / bayes-by-backprop
  PyTorch implementation of "Weight Uncertainty in Neural Networks"
  ☆174Updated 2 years ago
• ashafaei / OD-test
  OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)
  ☆62Updated last year
• wendazhou / nnet-compression-generalization
  ☆27Updated 6 years ago
• ganguli-lab / deepchaos
  Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"
  ☆70Updated 8 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 5 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆238Updated last year
• rdevon / cortex
  A machine learning library for PyTorch
  ☆92Updated 2 years ago
• LeoYu / neural-tangent-kernel-UCI
  Testing Nerual Tangent Kernel (NTK) on small UCI datasets
  ☆83Updated 5 years ago
• widedeepnetworks / widedeepnetworks
  Code for the paper Gaussian process behaviour in wide deep networks
  ☆48Updated 6 years ago