Alternatives and similar repositories for Motivated-Topology

Users that are interested in Motivated-Topology are comparing it to the libraries listed below

• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• shaunharker / CHomP
  CHomP -- Computation Homology Project software
  ☆47Updated last year
• dritchie / probabilistic-js
  Turning Javascript into a probabilistic programming language
  ☆58Updated 8 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆69Updated 10 years ago
• cranmer / active_sciencing
  active learning + reusable workflows + likelihood free inference
  ☆60Updated 8 years ago
• arvoelke / delay2017
  Improving spiking dynamical networks: Accurate delays, higher-order synapses, and time cells
  ☆7Updated 7 years ago
• kkurach / math_learning
  Learning to Discover Efficient Mathematical Identities
  ☆48Updated 10 years ago
• CW-Huang / BayesianHypernet
  ☆17Updated 7 years ago
• jtauber / functional-differential-geometry
  working my way through Sussman and Wisdom's Functional Differential Geometry and implementing it in Python
  ☆45Updated 10 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 9 years ago
• stan-dev / nomad
  Fast autodiff.
  ☆19Updated 10 years ago
• ivaleraM / DataTypes
  Automatic Discovery of the Statistical Types of Variables in a Dataset
  ☆23Updated 7 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• shraman-rc / vae
  Fun with variational autoencoders.
  ☆11Updated 7 years ago
• holdenlee / simons-ml
  Notes from Simons Institute program "Foundations of Machine Learning"
  ☆13Updated 8 years ago
• keplr-io / picard
  Easily declare large spaces of (keras) neural networks and run (hyperopt) optimization experiments on them.
  ☆52Updated 8 years ago
• cnel / itl-ae
  Information Theoretic Learning Auto-encoders
  ☆58Updated 9 years ago
• albanD / adaptive-neural-compilation
  ☆58Updated 9 years ago
• probmods / dippl
  The Design and Implementation of Probabilistic Programming Languages
  ☆178Updated last year
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆35Updated 5 years ago
• dojoteef / glas
  Generative Latent Attentive Sampler
  ☆26Updated 8 years ago
• melgor / DRAW
  Torch implementation of DRAW: A Recurrent Neural Network For Image Generation, based on https://github.com/vivanov879/draw
  ☆22Updated 9 years ago
• fabianp / DSOML_2017
  ☆12Updated 8 years ago
• mrkulk / MIT-Picture
  A probabilistic programming language for visual scene perception
  ☆26Updated 9 years ago
• benjamin-recht / shallow-linear-net
  ☆32Updated 7 years ago
• metacademy / metacademy-content
  content repository for metacademy.org
  ☆91Updated 8 years ago
• jostmey / RestrictedBoltzmannMachine
  Neural network trained as a generative model on the MNIST dataset using Persistent Contrastive Divergence.
  ☆41Updated 4 years ago
• ajtulloch / CambridgeMathematicsPartIII
  ☆63Updated 10 years ago
• HIPS / DESI-MCMC
  MCMC for the Dark Energy Spectroscopic Instrument
  ☆13Updated 9 years ago
• aditya-khant / neural-assembly-compiler
  A neural assembly compiler for pyTorch based on adaptive-neural-compilation
  ☆27Updated 7 years ago