Agent Engineer - a practical course for software engineers

Contains system design materials to prepare for system design interviews 🚩👨‍💻👨‍💻👨‍💻

Static site generator that supports Markdown and reST syntax. Powered by Python.

A workshop with several modules to help learn Feast, an open-source feature store

🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN

Machine learning End to End project from data collection to deployment and monitoring (Regression problem)

Code and materials for my book "50 ML projects to understand LLMs"

Real-time webcam demo with SmolVLM and llama.cpp server

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

Deep NNs for recommendations

This project shows how to serve an TF based image classification model as a web service with TFServing, Docker, and Kubernetes(GKE).

Official repository for our work on micro-budget training of large-scale diffusion models.

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest …

Computational Climate Science syllabus

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

D3 block magic for Jupyter notebook.

Machine learning course materials.

An extension of XGBoost to probabilistic modelling

Predico is a collaborative forecasting platform for energy time-series forecasting.

Bayesian neural networks via MCMC: tutorial

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

MLOps tutorial using Python, Docker and Kubernetes.

Extra blocks for scikit-learn pipelines.

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…

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI

Causal Inference in Python

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

A python library for decision tree visualization and model interpretation.

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models