Stars
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Source code for the X Recommendation Algorithm
What happens behind the scenes when we type www.google.com in a browser?
QuakeFlow: A Scalable Deep-learning-based Earthquake Monitoring Workflow with Cloud Computing
Source codes for "Knock Knock! Deep Learning" series.
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing…
Code and files to go along with CS329s machine learning model deployment tutorial.
Dockerfile best-practices for writing production-worthy Docker images.
Template Makefile for ML projects in Python.
A community driven list of useful Scala libraries, frameworks and software.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
JupyterLab extension that enables monitoring launched Apache Spark jobs from within a notebook
Apache Spark - A unified analytics engine for large-scale data processing
Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
♾️ CML - Continuous Machine Learning | CI/CD for ML
Cut and paste your surroundings using AR
This unofficial extension integrates Draw.io (also known as diagrams.net) into VS Code.
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.