Alternatives and similar repositories for opt-shortcourse

Users that are interested in opt-shortcourse are comparing it to the libraries listed below

• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated 2 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 7 years ago
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆98Updated 4 years ago
• CalculatedContent / ImplicitSelfRegularization
  Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."
  ☆46Updated 6 years ago
• joanbruna / ir18
  Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
  ☆69Updated 7 years ago
• fabianp / DSOML_2017
  ☆12Updated 8 years ago
• QData / deep2Read
  https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and relate…
  ☆54Updated last year
• fabianp / overview_optalgs
  ☆30Updated 5 years ago
• xbresson / CE9010_2018
  Python notebooks and slides for CE9010: Introduction to Data Science, Semester 2 2017/18
  ☆52Updated 7 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆67Updated 6 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆70Updated 7 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆22Updated 5 years ago
• irenetrampoline / papers
  notes on ML/CS/etc articles
  ☆47Updated 6 years ago
• pfnet-research / bayesgrad
  BayesGrad: Explaining Predictions of Graph Convolutional Networks
  ☆63Updated 3 years ago
• tbroderick / mlss2015_bnp_tutorial
  ☆24Updated 9 years ago
• mdeff / ntds_2019
  Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
  ☆69Updated 5 years ago
• chengsoonong / acton
  Active Learning: Predictors, Recommenders and Labellers
  ☆21Updated 2 years ago
• epfml / opt-summerschool
  Short Course on Optimization for Machine Learning - Slides and Practical Labs - DS3 Data Science Summer School, June 24 to 28, 2019, Pari…
  ☆20Updated 6 years ago
• harvard-ml-courses / cs287-s18
  Public course repo
  ☆24Updated 6 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆64Updated 7 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• nlml / tsne_raw
  Implementation of Symmetric SNE and t-SNE in numpy and python
  ☆75Updated 4 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• sarlinpe / Concrete-Dropout
  A clean TensorFlow implementation of Concrete Dropout
  ☆22Updated 7 years ago
• zackchase / machine-learning-resources
  A (possibly/eventually annotated?) collection of resources (books, demos, lectures, etc) that I personally like for various topics in mac…
  ☆32Updated 6 years ago
• fhuszar / thesis
  my PhD thesis on Bayesian inference
  ☆27Updated 12 years ago
• xbresson / IPAM_Tutorial_2019
  Notebooks for IPAM Tutorial, March 15 2019
  ☆24Updated 6 years ago
• shagunsodhani / ml-logger
  Logging utility for ML experiments
  ☆16Updated 3 years ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆105Updated 5 years ago
• arahuja / hamiltonian-monte-carlo
  Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
  ☆46Updated 9 years ago