Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

Machine Learning and Artificial Intelligence for Medicine.

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

A smarter shell and scripting environment with advanced features designed for usability, safety and productivity (eg smarter DevOps tooling)

🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…

Approaching (Almost) Any Machine Learning Problem

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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

Using Bag-of-Features to classify EEG time-series data

A cross platform application for the OpenBCI Cyton and Ganglion. Tested on Mac, Windows and Ubuntu/Mint Linux.

Large medical text dataset curated for abbreviation disambiguation, designed for natural language understanding pre-training in the medical domain

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

Roadmap to becoming an Artificial Intelligence Expert in 2022

🚴 Call stack profiler for Python. Shows you why your code is slow!

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

😎 Awesome lists about all kinds of interesting topics

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

A curated list of references for MLOps

A FREE comprehensive online Python development tutorial FOR KIDS utilizing an official BBC micro:bit Development Board going step-by-step into the world of Python for microcontrollers.

Bringing Old Photo Back to Life (CVPR 2020 oral)

Data science interview questions and answers

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

A software package for statistically significant shapelet mining

Evaluation of the Sepsis-3 guidelines in MIMIC-III

Sequence modeling benchmarks and temporal convolutional networks

A repository containing all code I used to create my Bonsai Tree watering system.

Learning DTW-Preserving Shapelets

Probabilistic time series modeling in Python

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