Alternatives and similar repositories for Artificial-Intelligence

Users that are interested in Artificial-Intelligence are comparing it to the libraries listed below

• eneskemalergin / Data_Structures_and_Algorithms
  My review notes and scripts on data structures and algorithms written mostly with Python
  ☆19Updated 8 years ago
• NAU-Python-Class / Py101-Spring-15
  Python 101 Class Spring 2015 in NAU
  ☆15Updated 10 years ago
• aqibsaeed / Research-Paper-Categorization
  Research paper classification using machine learning and NLP
  ☆27Updated 7 years ago
• zygmuntz / kaggle-stackoverflow
  Predicting closed questions on Stack Overflow
  ☆44Updated 7 years ago
• PythonWorkshop / intro-to-sklearn
  Notebooks covering introductory material to ML, ML with sklearn and tips.
  ☆77Updated 7 years ago
• NAU-ACM / Competitive-Programming
  All solutions that we have for competitive Programming websites.
  ☆21Updated 8 years ago
• christopherjenness / ML-lib
  An extensive machine learning library, made from scratch (Python).
  ☆111Updated 7 years ago
• davetang / learning_random_forest
  Notes and code for learning Random Forests
  ☆12Updated 2 years ago
• Jason2Brownlee / CleverAlgorithmsMachineLearning
  Defunct
  ☆241Updated 8 years ago
• thundergolfer / awesome-AI-academia
  A curated list of academic AI resources and people. Partly an aspirational list, partly a memory aide.
  ☆51Updated 6 years ago
• eneskemalergin / MachineLearning_Beyond
  Repository to store machine learning, artificial intelligence, and deep learning implementations with explanations
  ☆11Updated 7 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆30Updated 8 years ago
• numb3r33 / Kaggle-Competitions
  All Kaggle competitions
  ☆91Updated 9 years ago
• mlgill / wine-o.ai
  Wine-O.AI: Computer Vision Assisted Wine Recommendations
  ☆33Updated 8 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 10 years ago
• kootenpv / xtoy
  Automated Machine Learning: go from 'X' to 'y' without effort.
  ☆49Updated 6 years ago
• StoreyLab / reading
  A collection of papers and books that Storey Lab members should read and others may find useful
  ☆47Updated 10 years ago
• googlegenomics / datalab-examples
  Example Cloud Datalab iPython Notebooks for genomics use cases.
  ☆25Updated 8 years ago
• ContinuumIO / interview-questions
  An open source repository of Continuum's interview questions.
  ☆62Updated last year
• mnielsen / notes-on-neural-networks
  Rough working notes on neural networks
  ☆46Updated 11 years ago
• mcapuccini / spark-tutorial
  Introduction to predictive modeling in Spark with applications in pharmaceutical bioinformatics
  ☆39Updated 9 years ago
• fastai / randomized-SVD
  demos for PyBay talk: Using Randomness to make code faster
  ☆51Updated 8 years ago
• agconti / KaggleAux
  A collection of statistical tools to aid Data Science competitors in Kaggle Competitions.
  ☆63Updated 7 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• rasbt / mputil
  Utility functions for Python's multiprocessing standard library module
  ☆39Updated 7 years ago
• twiecki / pymc3_talk
  Bayesian Analysis in PyMC3.
  ☆79Updated 11 years ago
• danielfrg / copper
  Fast, easy and intuitive machine learning prototyping.
  ☆124Updated 11 years ago
• leriomaggio / numpy-euroscipy
  Introduction to NumPy - Tutorial @ EuroSciPy
  ☆30Updated 2 years ago
• llSourcell / an_intro_to_probabilistic_programming
  This is the code for the "An intro to probabilistic programming with Uber's Pyro" by Siraj Raval on Youtube
  ☆44Updated 7 years ago
• algorithmiaio / awesome-ipython-notebooks
  ☆45Updated 9 years ago