Alternatives and similar repositories for post--momentum:

Users that are interested in post--momentum are comparing it to the libraries listed below

• colah / Visualizing-Deep-Learning
  A series of blog posts on visualizing deep learning.
  ☆162Updated 8 years ago
• mcleonard / sampyl
  MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
  ☆339Updated 2 years ago
• mitdbg / fastdeepnets
  ☆113Updated 2 years ago
• bamos / block
  An intelligent block matrix library for numpy, PyTorch, and beyond.
  ☆306Updated 8 months ago
• golkar / backdrop
  Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.
  ☆68Updated 6 years ago
• imurray / redirectify
  Browser extension to redirect pages based on rules. Intended to stop the browser following links straight to the PDF of a paper, but inst…
  ☆156Updated 10 months ago
• jaanli / jaan.io
  A Retina-ready Jekyll-powered blog with responsiveness, SEO, etc.; up at https://jaan.io
  ☆56Updated last year
• benjamin-recht / shallow-linear-net
  ☆32Updated 7 years ago
• distillpub / post--building-blocks
  The Building Blocks of Interpretability
  ☆91Updated 2 years ago
• colah / NN-Topology-Post
  A blog post exploring a connection between neural networks and topology
  ☆99Updated 6 years ago
• tonywu95 / eval_gen
  Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
  ☆130Updated 7 years ago
• Smerity / trending_arxiv
  Track trending arXiv papers on Twitter from within your circle
  ☆174Updated 8 years ago
• distillpub / post--augmented-rnns
  Attention and Augmented Recurrent Neural Networks
  ☆175Updated 6 years ago
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆391Updated 11 months ago
• uber-research / intrinsic-dimension
  ☆219Updated 6 years ago
• AI-ON / ai-on.org
  AI•ON projects repository and website source.
  ☆217Updated 7 years ago
• thomas-tanay / post--L2-regularization
  Distill submission
  ☆33Updated last year
• edwardlib / papers
  Edward content including papers, posters, and talks
  ☆91Updated 4 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 8 years ago
• stats385 / stats385.github.io
  STATS385 course website
  ☆89Updated 2 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆70Updated 6 years ago
• mwhoffman / pybo
  Python package for modular Bayesian optimization
  ☆134Updated 4 years ago
• offconvex / offconvex.github.io
  Off the convex path
  ☆67Updated 2 years ago
• gradientinstitute / aboleth
  A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
  ☆128Updated 3 years ago
• stepelu / ptstat
  Probabilistic Programming and Statistical Inference in PyTorch
  ☆110Updated 7 years ago
• distillpub / post--visual-exploration-gaussian-processes
  A Visual Exploration of Gaussian Processes
  ☆102Updated 2 years ago
• ee227c / ee227c.github.io
  EE227C (Spring 2018) Course page
  ☆224Updated 4 years ago
• arogozhnikov / 3d_nn
  Raymarching neural network in browsers with WebGL shaders
  ☆196Updated 2 years ago
• david-abel / latex_docs
  LaTeX template and custom commands
  ☆59Updated 5 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 8 years ago