Alternatives and similar repositories for PyCon9-Pytorch-from-Ground-Up

Users that are interested in PyCon9-Pytorch-from-Ground-Up are comparing it to the libraries listed below

• rdipietro / jupyter-notebooks
  ☆78Updated 7 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 9 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• mlberkeley / Deep-Learning-Decal-Fall-2017
  ☆26Updated 7 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 7 years ago
• neuropoly / gmseg
  Spinal cord gray matter segmentation using deep dilated convolutions.
  ☆45Updated 7 years ago
• RubensZimbres / GAN-Project-2018
  GAN in Tensorflow to be run via Linux command line
  ☆22Updated 7 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆57Updated 2 years ago
• yell / mnist-challenge
  My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
  ☆70Updated 6 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• mikepqr / serverless-for-data-scientists
  Code and notebooks for a talk given at PyBay, 2018-08-19
  ☆49Updated 4 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆125Updated 5 years ago
• kzuiderveld / deeplearning1
  Experiments for Jeremy Howard's deep learning courses
  ☆39Updated 8 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 9 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• thismlguy / easyML
  A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.
  ☆17Updated 5 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• glouppe / notebooks
  Random fiddling stored in notebooks
  ☆22Updated 8 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆107Updated 5 years ago
• radekosmulski / cifar10_docker
  ☆52Updated 7 years ago
• bckenstler / dsb17-walkthrough
  An end-to-end walkthrough of the winning submission by grt123 for the Kaggle Data Science Bowl 2017
  ☆69Updated 8 years ago
• adeshpande3 / NLP-Stuff
  Programs with word vectors, RNN, NLP stuff, etc
  ☆18Updated 8 years ago
• taoyizhi68 / keras-Spatial-Transformer-Layer
  Using Spatial Transformer Layer with keras (theano backend).
  ☆12Updated 9 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 5 years ago
• m2dsupsdlclass / azure-deployment
  Deployment instructions to get a GPU VM for the Deep Learning class
  ☆18Updated 7 years ago
• cbonnett / MDN_Edward_Keras_TF
  ☆13Updated 9 years ago