Stars
A curated, hands-on library of notebooks, demos, and resources for AI/ML, Deep Learning, Generative AI, AI-Agents, fine-tuning, and modern tooling.
This is a repo with links to everything you'd ever want to learn about data engineering
Contains Company Wise Questions sorted based on Frequency and all time
The official PyTorch implementation of Google's Gemma models
Using Scikit-learn, Numpy, Pandas and Matplotlib, analyzed Airbnb listing data to understand popular trends and predict SF prices
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor…
Python training for business analysts and traders
Standard and Advanced Demos for learn.cantrill.io courses
Backup for NYC TLC data for the DE Zoomcamp course
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
AI-Powered-Call-Center-Intelligence powered by Azure AI (including Azure OpenAI GPT-3)
Sample files to accompany the FT's Chart Doctor column
Apache Beam is a unified programming model for Batch and Streaming data processing.
A Streamlit app to explore data engineering salary data.
A curated list of project tutorials for project-based learning.
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
A complete computer science study plan to become a software engineer.
Jitsi Meet - Secure, Simple and Scalable Video Conferences that you use as a standalone app or embed in your web application.
Answers to Codility's online lesson tasks
Code repository for the online course Machine Learning Interpretability
A list of awesome beginners-friendly projects.
🎓 Path to a free self-taught education in Computer Science!
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…