Alternatives and similar repositories for eth-machine-learning-summary:

Users that are interested in eth-machine-learning-summary are comparing it to the libraries listed below

• offconvex / offconvex.github.io
  Off the convex path
  ☆67Updated 2 years ago
• ganguli-lab / deepchaos
  Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"
  ☆70Updated 8 years ago
• slinderman / stats215
  ☆29Updated 5 years ago
• henripal / sgld
  ☆59Updated 6 years ago
• liang456 / Stanford-Probabilistic-Graphical-Models-Coursera
  ☆82Updated 7 years ago
• arranger1044 / awesome-spn
  A structured list of resources about Sum-Product Networks (SPNs)
  ☆253Updated 4 years ago
• sanghyunyi / feedback_alignment
  Tensorflow implementation of Direct and Random feedback Alignment
  ☆24Updated 8 years ago
• rmgarnett / cse515t
  Materials for Bayesian Methods in Machine Learning Course
  ☆88Updated 4 months ago
• ajcr / em-explanation
  Notebooks explaining the intuition behind the Expectation Maximisation algorithm
  ☆38Updated 5 years ago
• dalab / lecture_cil_public
  Public repository for CIL
  ☆40Updated 3 years ago
• moonl1ght / HessianFreeOptimization
  Hessian Free Optimization with Tensorflow
  ☆29Updated 7 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
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 8 years ago
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆198Updated 2 years ago
• goodfeli / galatea
  This was my private research codebase during grad school. After graduation I made it all public
  ☆121Updated 6 years ago
• benjamin-recht / shallow-linear-net
  ☆32Updated 7 years ago
• kevinzakka / learn-linalg
  Learning some numerical linear algebra.
  ☆71Updated 4 years ago
• djstrouse / information-bottleneck
  a python implementation of various versions of the information bottleneck, including automated parameter searching
  ☆123Updated 4 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆59Updated 4 years ago
• neuroailab / Neural-Alignment
  ☆24Updated 4 years ago
• ermongroup / markov-chain-gan
  Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
  ☆80Updated 7 years ago
• oxcsml / ML_bazaar
  OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
  ☆93Updated 3 years ago
• brendenlake / AAI-site
  NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science
  ☆131Updated 5 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 8 years ago
• approximateinference / approximateinference.github.io
  NeurIPS workshop on Advances in Approximate Bayesian Inference
  ☆48Updated this week
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆75Updated 6 years ago
• tscohen / gconv_experiments
  Experiments with Group Equivariant Convolutional Networks
  ☆121Updated 6 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆131Updated 5 years ago
• sinead / DS32019
  Materials for short course on Bayesian inference at the Data Science Summer School
  ☆13Updated 5 years ago
• google-deepmind / symplectic-gradient-adjustment
  A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
  ☆154Updated 6 years ago