Awesome Google ColabGoogle Colaboratory Notebooks and Repositories (by @firmai)
Stars: ✭ 863 (+62.83%)
Intro PythonPython pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage
Stars: ✭ 21 (-96.04%)
Open source demosA collection of demos showcasing automated feature engineering and machine learning in diverse use cases
Stars: ✭ 391 (-26.23%)
Python TrainingPython training for business analysts and traders
Stars: ✭ 972 (+83.4%)
Docker Iocaml DatascienceDockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning
Stars: ✭ 30 (-94.34%)
Agile data code 2Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
Stars: ✭ 413 (-22.08%)
Python for mlbrief introduction to Python for machine learning
Stars: ✭ 29 (-94.53%)
Optimus🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark
Stars: ✭ 986 (+86.04%)
Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Stars: ✭ 42 (-92.08%)
H2o MeetupsPresentations from H2O meetups & conferences by the H2O.ai team
Stars: ✭ 405 (-23.58%)
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-90%)
Text nnText classification models. Used a submodule for other projects.
Stars: ✭ 55 (-89.62%)
Ppd599USC urban data science course series with Python and Jupyter
Stars: ✭ 1,062 (+100.38%)
AthenaAutomatic equation building and curve fitting. Runs on Tensorflow. Built for academia and research.
Stars: ✭ 57 (-89.25%)
Storytelling With DataCourse materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
Stars: ✭ 59 (-88.87%)
Numerical Linear AlgebraFree online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Stars: ✭ 8,263 (+1459.06%)
Etl with pythonETL with Python - Taught at DWH course 2017 (TAU)
Stars: ✭ 68 (-87.17%)
W2vWord2Vec models with Twitter data using Spark. Blog:
Stars: ✭ 64 (-87.92%)
Mit Deep LearningTutorials, assignments, and competitions for MIT Deep Learning related courses.
Stars: ✭ 8,912 (+1581.51%)
PresentationsTalks & Workshops by the CODAIT team
Stars: ✭ 50 (-90.57%)
PhormaticsUsing A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)
Stars: ✭ 79 (-85.09%)
Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
Stars: ✭ 86 (-83.77%)
Pymc Example ProjectExample PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
Stars: ✭ 90 (-83.02%)
NotebooksA collection of Jupyter/IPython notebooks
Stars: ✭ 78 (-85.28%)
Ds With PysimpleguiData science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package
Stars: ✭ 93 (-82.45%)
LasioPython library for reading and writing well data using Log ASCII Standard (LAS) files
Stars: ✭ 234 (-55.85%)
Scikit Learn VideosJupyter notebooks from the scikit-learn video series
Stars: ✭ 3,254 (+513.96%)
Data ScienceCollection of useful data science topics along with code and articles
Stars: ✭ 315 (-40.57%)
Production Data ScienceProduction Data Science: a workflow for collaborative data science aimed at production
Stars: ✭ 388 (-26.79%)
User Machine Learning TutorialuseR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
Stars: ✭ 393 (-25.85%)
SompyA Python Library for Self Organizing Map (SOM)
Stars: ✭ 430 (-18.87%)
JupytextJupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Stars: ✭ 4,969 (+837.55%)
AtmAuto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
Stars: ✭ 504 (-4.91%)
AugmentorImage augmentation library in Python for machine learning.
Stars: ✭ 4,594 (+766.79%)
Sklearn BayesPython package for Bayesian Machine Learning with scikit-learn API
Stars: ✭ 428 (-19.25%)
Co Learning LoungeWelcome to the one point community-driven encyclopedia for anything in technology.
Stars: ✭ 473 (-10.75%)
Py d3D3 block magic for Jupyter notebook.
Stars: ✭ 428 (-19.25%)
Sklearn ClassificationData Science Notebook on a Classification Task, using sklearn and Tensorflow.
Stars: ✭ 518 (-2.26%)
PandapyPandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)
Stars: ✭ 474 (-10.57%)
Probabilistic unetA U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Stars: ✭ 427 (-19.43%)
Data Science Learning ResourcesA collection of data science and machine learning resources that I've found helpful (I only post what I've read!)
Stars: ✭ 428 (-19.25%)
Iclr2020 OpenreviewdataScript that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
Stars: ✭ 426 (-19.62%)
Wfdb PythonNative Python WFDB package
Stars: ✭ 471 (-11.13%)