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Learn how to design, develop, deploy and iterate on production-grade ML applications.
Companion repository for the "WebSockets and AsyncIO: Beyond 5-line Samples" blog post
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
🎓 Path to a free self-taught education in Computer Science!
A book series (2 published editions) on the JS language.
The ultimate Python library in building OAuth, OpenID Connect clients and servers. JWS, JWE, JWK, JWA, JWT included.
Simple demonstration app for 'Cloud Native Devops'
List of awesome mlops articles. Curated from Feb 2022.
Python code to parse a Twitter archive and output in various ways
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Financial data platform for analysts, quants and AI agents.
Mastering Python Second Edition
Algorithmic trading framework for cryptocurrencies.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Discover augmentation strategies tailored for your dataset
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Federated Query Engine for AI - The only MCP Server you'll ever need
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
A collection of research papers and software related to explainability in graph machine learning.
Minimal and clean examples of machine learning algorithms implementations
Fully reproducible, Dockerized, step-by-step, tutorial on how to mock a "real-time" Kafka data stream from a timestamped csv file. Detailed blog post published on Towards Data Science.
moDel Agnostic Language for Exploration and eXplanation