Alternatives and similar repositories for ml2019

Users that are interested in ml2019 are comparing it to the libraries listed below

• davidrosenberg / ml2018
  DSGA-1003: Machine Learning and Computational Statistics, Spring 2018
  ☆26Updated 2 years ago
• AM207 / 2018fall
  ☆38Updated 4 years ago
• joanbruna / ir18
  Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18
  ☆67Updated 6 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆95Updated 2 years ago
• prob140 / textbook
  ☆28Updated 4 months ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆27Updated 5 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆34Updated 8 years ago
• Shujian2015 / Kaggle-Mercari
  32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)
  ☆21Updated 7 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆43Updated 6 years ago
• yrbszhsh / Principles-of-Artificial-Intelligence-Learning-Algorithms
  My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms
  ☆13Updated 6 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
• datacamp / datacamp_facebook_live_ny_resolution
  In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…
  ☆44Updated 7 years ago
• mlberkeley / deep-learning-reading-group
  A public wiki for the deep learning reading group at UC Berkeley
  ☆27Updated 9 years ago
• deeplearning-math / deeplearning-math.github.io
  A Course on Mathematical Theories of Deep Learning
  ☆79Updated 4 years ago
• d2l-ai / notebooks
  ☆69Updated 6 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
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 4 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 3 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• llSourcell / Kaggle_Challenge_LIVE-Two-Sigma
  This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube
  ☆65Updated 7 years ago
• ChicagoBoothML / ML2016
  BUS 41204: Machine Learning -- Winter 2016
  ☆11Updated 8 years ago
• DataForScience / CausalInference
  ☆94Updated 3 years ago
• jamt9000 / prml
  Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book
  ☆76Updated 5 years ago
• deniederhut / safe-handling-instructions-for-missing-data
  Code and data for SciPy 2018 talk on missing data
  ☆21Updated 7 years ago
• fw307 / high_dimensional_regression_comparison
  Empirical comparison of penalized linear regression in high-dimensional settings
  ☆12Updated 5 years ago
• cs230-stanford / website-2018-winter
  ☆90Updated 6 years ago
• crowdAI / crowdai-criteo-ad-placement-challenge-starter-kit
  Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge
  ☆18Updated 7 years ago
• tcsai / data-proc-adv
  Data Processing Advanced: a course on scientific computing with Numpy/Scipy
  ☆22Updated 8 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 7 years ago