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The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing projec…
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automate…
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Loud ML is the first open-source AI solution for ICT and IoT automation
An opinionated list of Python frameworks, libraries, tools, and resources
500 AI Machine learning Deep learning Computer vision NLP Projects with code
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🍦 Deployment tool for online machine learning models
Rich is a Python library for rich text and beautiful formatting in the terminal.
ESP32-compatible example for Maxim Integrated DS18B20 Programmable Resolution 1-Wire Digital Thermometer.
Paho MQTT C client library for embedded systems. Paho is an Eclipse IoT project (https://iot.eclipse.org/)
Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP…
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Top 200 deep learning Github repositories sorted by the number of stars.
Machine Learning algorithms implemented from scratch
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
Using my smart meter electricity data from Baltimore Gas and Electric to forecast my energy demand using support vector regression.
Talk at PyCon UA 2018 (Kharkov, Ukraine)
Performance tests for performance evaluation of various middleware implementations (OPC UA, MQTT, DDS, ROS)