Alternatives and similar repositories for Data-Exploration-and-Numerical-Experimentation

Users that are interested in Data-Exploration-and-Numerical-Experimentation are comparing it to the libraries listed below

• elegant-scipy / notebooks
  The compiled, clean (not run) Jupyter notebooks for Elegant SciPy
  ☆112Updated 5 years ago
• robert-alvarez / pytorch_tutorial
  ☆31Updated 5 years ago
• fonnesbeck / bayes_tutorial_2019
  Introductory overview of Bayesian inference
  ☆44Updated 6 years ago
• mmckerns / tuthpc
  Tutorial on "Efficient Python for High-Performance Computing"
  ☆121Updated 4 months ago
• ericmjl / bayesian-deep-learning-demystified
  In which I try to demystify the fundamental concepts behind Bayesian deep learning.
  ☆123Updated 7 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆135Updated 4 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆30Updated 8 years ago
• martindurant / dask-tutorial-scipy-2018
  Materials for "Parallelizing Scientific Python with Dask"
  ☆70Updated 7 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• zhangzhang10 / pydaal-tutorials
  Tutorials for uisng PyDAAL, i.e. the Python API of Intel Data Analytics Acceleration Library
  ☆11Updated 7 years ago
• gertingold / euroscipy-numpy-tutorial
  Introduction to NumPy arrays
  ☆18Updated 6 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
• rsnemmen / parallel-python-tutorial
  Parallel Computing with Python
  ☆29Updated 2 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• UWSEDS / LectureNotes
  Lecture content for UW Software Engineering for Data Scientists
  ☆101Updated last year
• brienna / BIOF509
  Machine Learning and Object Oriented Programming with Python, a FAES course at the National Institutes of Health
  ☆20Updated 9 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆127Updated 5 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated last month
• gpuopenanalytics / demo-docker
  Demo notebooks inside a docker for end-to-end examples
  ☆113Updated 7 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• asdspal / dimRed
  python, scala, and pyspark code for few dimensional reduction algorithms
  ☆62Updated 7 years ago
• sebp / scikit-learn-mpi-grid-search
  Performs nested cross-validation for scikit-learn classes using MPI for parallel computing.
  ☆42Updated 10 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• cognoma / machine-learning
  Machine learning for Project Cognoma
  ☆32Updated 7 years ago
• jupyterlab / scipy2018-jupyterlab-tutorial
  Tutorial material and instruction for scipy 2018 jupyterlab tutorial
  ☆73Updated 6 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 8 years ago
• cliburn / sta-663-2018
  ☆73Updated 6 years ago