rodgzilla / machine_learning_mandelbrot_neural_network

Related projects ⓘ

Alternatives and complementary repositories for machine_learning_mandelbrot_neural_network

• tbroderick / mlss2015_bnp_tutorial
  ☆23Updated 8 years ago
• glouppe / notebooks
  Random fiddling stored in notebooks
  ☆22Updated 7 years ago
• rosinality / knotter
  Implementation of Mapper algorithm for Topological Data Analysis
  ☆45Updated 4 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• edwardlib / papers
  Edward content including papers, posters, and talks
  ☆90Updated 4 years ago
• sliorde / generating-neural-networks-with-neural-networks
  Code that goes along with paper http://arxiv.org/abs/1801.01952
  ☆46Updated 6 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 7 years ago
• cranmer / active_sciencing
  active learning + reusable workflows + likelihood free inference
  ☆59Updated 7 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 4 years ago
• fabianp / overview_optalgs
  ☆29Updated 4 years ago
• JonasWallin / BayesFlow
  ☆19Updated 8 years ago
• dustinvtran / bayesrl
  A Python library for reinforcement learning using Bayesian approaches
  ☆53Updated 9 years ago
• Evolving-AI-Lab / innovation-engine
  Code base for "Innovation Engines" GECCO 2015 paper
  ☆29Updated 7 years ago
• djsutherland / igms
  Implicit generative models and related stuff based on the MMD, in PyTorch
  ☆16Updated 4 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• lisa-lab / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆12Updated 10 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆70Updated 8 years ago
• arayabrain / SimplestGANBlogpostCode
  Code for the blog post on GAN stability
  ☆10Updated 8 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆12Updated last year
• hongseok-yang / probprog17
  ☆27Updated 6 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆31Updated 8 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 8 years ago
• arayabrain / RecurrentAutoencoder
  Sample code for generative recurrent autoencoders.
  ☆25Updated 8 years ago
• AI-ON / deep-embedding
  Discovering deep embedding spaces for Psychiatric imaging
  ☆16Updated 6 years ago
• thomas-tanay / post--L2-regularization
  Distill submission
  ☆33Updated last year
• holdenlee / simons-ml
  Notes from Simons Institute program "Foundations of Machine Learning"
  ☆13Updated 7 years ago
• fastforwardlabs / vae-tf
  repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs
  ☆100Updated 7 years ago
• wittawatj / kernel-mod
  NeurIPS 2018. Linear-time model comparison tests.
  ☆18Updated 4 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆68Updated 10 years ago