Alternatives and similar repositories for tensorflow-tutorial

Users that are interested in tensorflow-tutorial are comparing it to the libraries listed below

• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 11 years ago
• wildtreetech / advanced-comp-2017
  💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017
  ☆23Updated 8 years ago
• vkrakovna / sbfc
  Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…
  ☆16Updated 3 years ago
• dmarcous / CRAN_deepboost
  Deepboost R-package for submission
  ☆19Updated 8 years ago
• berkeley-scf / gpu-workshop-2016
  Materials for workshop on GPU computation for statistics, data science, machine learning applications.
  ☆14Updated 9 years ago
• szilard / GBM-multicore
  GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems
  ☆20Updated 7 years ago
• mlberkeley / deep-learning-reading-group
  A public wiki for the deep learning reading group at UC Berkeley
  ☆27Updated 9 years ago
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆42Updated 5 years ago
• abhishekmalali / h2o-hyperopt
  Library for integrated use of H2O with Hyperopt
  ☆13Updated last year
• tedwestling / ctsCausal
  ☆10Updated 3 years ago
• TaddyLab / bayesian-forest
  ☆31Updated 9 years ago
• diyadas / tutorials
  Short programming tutorials pertaining to data analysis.
  ☆15Updated 8 years ago
• luca590 / High-Dimensional-Statistics
  PCA, Factor Analysis, CCA, Sparse Covariance Matrix Estimation, Imputation, Multiple Hypothesis Testing
  ☆10Updated 4 years ago
• zatonovo / deep_learning_ex
  Deep learning examples
  ☆13Updated 9 years ago
• jeremiedb / mxnet_R_bucketing
  R model API to support bucketing and masking
  ☆12Updated 7 years ago
• heike / stat590f
  Topics in statistical computing @ ISU
  ☆18Updated 10 years ago
• sigopt / SigOptR
  SigOpt's public R client
  ☆13Updated 2 years ago
• ptoulis / implicit-sgd
  Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.
  ☆16Updated 11 years ago
• joelgrus / odscnet
  repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"
  ☆13Updated 8 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆71Updated 9 years ago
• ShirinG / ShirinG.github.io
  Shirin's playgRound - exploring and playing with data in R
  ☆18Updated 6 years ago
• holdenlee / simons-ml
  Notes from Simons Institute program "Foundations of Machine Learning"
  ☆13Updated 8 years ago
• amitkaps / modelvis-talks
  Model Visualisation.
  ☆16Updated 7 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 7 years ago
• naesseth / nestedsmc
  Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.
  ☆14Updated 10 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 7 years ago
• xrobin / DeepLearning
  R package for deep learning
  ☆16Updated 5 years ago
• ecpolley / SuperLearnerExtra
  Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…
  ☆20Updated last year
• szilard / ML-scoring
  Compare the scoring speed of several open source machine learning libraries.
  ☆19Updated 8 years ago
• mwhoffman / pygp
  Python package for inference with Gaussian processes
  ☆11Updated 10 years ago