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artificial_intelligence_university_courses

University-backed artificial intelligence courses

awesome-web-scraping

List of libraries, tools and APIs for web scraping and data processing.

best_ai_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

conference-acceptance-rate

Statistics of acceptance rate for the main AI conference

cookiecutter-scrapy

A simple cookiecutter template for Scrapy projects

coursera-intro-to-machine-learning-duke-university

Repository with the programming assignments from Introduction to Machine Learning Course of Duke University on Coursera.

csvkit

A suite of utilities for converting to and working with CSV, the king of tabular file formats.

curl

A command line tool and library for transferring data with URL syntax, supporting HTTP, HTTPS, FTP, FTPS, GOPHER, TFTP, SCP, SFTP, SMB, TELNET, DICT, LDAP, LDAPS, MQTT, FILE, IMAP, SMTP, POP3, RTSP and RTMP. libcurl offers a myriad of powerful features

curso-mineracao-textos

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

datasets

🤗 Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow

Part I: Notebooks & Code "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

hands_on

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

httpie

As easy as /aitch-tee-tee-pie/ 🥧 Modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more. https://twitter.com/clihttp

jblacn

source code and dataset for JBLACN

learning-opencv-3_examples

markeasy

Hidden Markov Model implemented in an explainable way.

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

movielens

4 different recommendation engines for the MovieLens dataset.

movielens-1

ness_workshop_ml

Workshop NESS - Inteligência Artificial e Aprendizagem de Máquina

pretty-print-confusion-matrix

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

python-clustering-exercises

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

python-crfsuite

A python binding for crfsuite

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

redes_neurais_esp

rows

A common, beautiful interface to tabular data, no matter the format

structured-text-tools

A list of command line tools for manipulating structured text data