Alternatives and similar repositories for wiseodd.github.io:

Users that are interested in wiseodd.github.io are comparing it to the libraries listed below

• yousuketakada / prml_errata
  More PRML Errata
  ☆80Updated 2 years ago
• ee227c / ee227c.github.io
  EE227C (Spring 2018) Course page
  ☆223Updated 3 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 4 years ago
• offconvex / offconvex.github.io
  Off the convex path
  ☆67Updated 2 years ago
• jzbontar / pixelcnn-pytorch
  ☆121Updated 4 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 4 years ago
• napsternxg / pytorch-practice
  Some example scripts on pytorch
  ☆197Updated 3 years ago
• brain-research / mean-field-cnns
  ☆34Updated 5 years ago
• vincentherrmann / wasserstein-notebook
  Wasserstein / earth mover's distance visualizations
  ☆66Updated 7 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆131Updated 5 years ago
• pawni / BayesByHypernet
  Code for the paper Implicit Weight Uncertainty in Neural Networks
  ☆65Updated 5 years ago
• wiseodd / natural-gradients
  Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)
  ☆137Updated 5 years ago
• jrbtaylor / conditional-pixelcnn
  A PyTorch implementation of Conditional PixelCNNs
  ☆27Updated 7 years ago
• sunsided / vae-style-transfer
  An experiment in VAE-based artistic style transfer by embedding fiddling.
  ☆36Updated 6 years ago
• distillpub / post--visual-exploration-gaussian-processes
  A Visual Exploration of Gaussian Processes
  ☆102Updated 2 years ago
• akosiorek / forge
  Basic experiment framework for tensorflow.
  ☆92Updated 3 years ago
• kekeblom / DeepCGP
  Deep convolutional gaussian processes.
  ☆78Updated 5 years ago
• tfrerix / proxprop
  Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
  ☆41Updated 5 years ago
• cheind / tf-matplotlib
  Seamlessly integrate matplotlib figures as tensorflow summaries.
  ☆119Updated 6 years ago
• KarenUllrich / Tutorial_BayesianCompressionForDL
  A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
  ☆205Updated 6 years ago
• lilianweng / unified-gan-tensorflow
  A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
  ☆116Updated 6 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆72Updated 8 years ago
• JSeam2 / Neural-Ordinary-Differential-Equations
  Sample implementation of Neural Ordinary Differential Equations
  ☆260Updated 6 years ago
• drasmuss / hessianfree
  Hessian-free optimization for deep networks
  ☆60Updated 7 years ago
• david-abel / latex_docs
  LaTeX template and custom commands
  ☆59Updated 5 years ago
• emtiyaz / vadam
  Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …
  ☆111Updated 6 years ago
• Ranlot / spiralNet
  Looking at the manifold hypothesis in deep learning. Creating a simple spiral dataset allows me to reveal how neural networks follow an …
  ☆22Updated 2 years ago
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 5 years ago
• jotaf98 / curveball
  Second-order optimiser for deep networks
  ☆76Updated 6 years ago
• yenchenlin / pix2pix-flow
  Image-to-image translation with flow-based generative model
  ☆64Updated 6 years ago