Alternatives and similar repositories for NN-Topology-Post

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

• shakedshammah / failures_of_DL
  ☆90Updated 8 years ago
• sharadmv / deepx
  An expressive shorthand to describe a deep learning architecture
  ☆73Updated 6 years ago
• hardmaru / gecco-tutorial-2019
  2019 talk at GECCO
  ☆68Updated 6 years ago
• jn2clark / nn-iterated-projections
  Neural network training using iterated projections.
  ☆90Updated 9 years ago
• jaanli / proximity_vi
  This code accompanies the proximity variational inference paper.
  ☆18Updated 7 years ago
• colah / Motivated-Topology
  A topology textbook with a hubristic title
  ☆31Updated 10 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• snap-stanford / snapvx
  ☆66Updated 5 years ago
• aslanides / aixijs
  AIXIjs - General Reinforcement Learning in the Browser
  ☆149Updated 5 years ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆117Updated 3 years ago
• gradientinstitute / aboleth
  A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
  ☆128Updated 4 years ago
• HIPS / author-roulette
  LaTeX package for randomizing author order based on a public seed.
  ☆41Updated 10 years ago
• colah / Visualizing-Deep-Learning
  A series of blog posts on visualizing deep learning.
  ☆163Updated 8 years ago
• mnielsen / rmnist
  Some examples trained on very reduced versions of the MNIST training set
  ☆47Updated 8 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• dojoteef / glas
  Generative Latent Attentive Sampler
  ☆26Updated 8 years ago
• jn2clark / ReinforcementLearning
  ☆87Updated 9 years ago
• ucla-vision / parle
  ☆38Updated 7 years ago
• cosmoharrigan / neuroevolution
  Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
  ☆71Updated 4 years ago
• fabianp / overview_optalgs
  ☆30Updated 5 years ago
• moridinamael / mc-aixi
  MC-AIXI-CTW by Marcus Hutter and his students (in particular Daniel Visentin)
  ☆51Updated 14 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 9 years ago
• ProofByConstruction / better-explanations
  Warehouse for running small experiments and sharing them with the group
  ☆29Updated 9 years ago
• ivaleraM / DataTypes
  Automatic Discovery of the Statistical Types of Variables in a Dataset
  ☆23Updated 7 years ago
• distillpub / post--augmented-rnns
  Attention and Augmented Recurrent Neural Networks
  ☆175Updated 7 years ago
• opveclib / opveclib
  The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…
  ☆68Updated 9 years ago
• philipphennig / probabilistic-numerics.org
  This repository houses the code for the community website http://www.probabilistic-numerics.org
  ☆36Updated 5 years ago
• brain-research / l2hmc
  TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
  ☆183Updated 7 years ago
• yaringal / DropoutUncertaintyDemos
  What My Deep Model Doesn't Know...
  ☆118Updated 10 years ago
• distillpub / post--momentum
  Why Momentum Really Works
  ☆209Updated 6 years ago