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kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

ktrain

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

machine_learning

A-Z Machine Learning

madewithml

Learn how to responsibly deliver value with ML.

orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

principal-component-analysis-pca---python

py

Repository to store sample python programs for python learning

pycaret

An open-source, low-code machine learning library in Python

python-cheatsheet

Comprehensive Python Cheatsheet

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

ta-lib

Python wrapper for TA-Lib (http://ta-lib.org/).

timeseries-aiengineering

This is a repo for all the time series related notebook for AIENgineering

timeserieslstm

Fully coded with Google Colab.

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

txtai

AI-powered search engine

ubuntu-cheatsheet

Ubuntu Terminal Cheatsheet

what-if-tool

Source code/webpage/demos for the What-If Tool

woodwork

Woodwork provides a common typing namespace for using your existing DataFrames in Featuretools, EvalML, and general ML.