The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

This respository contains the code for extracting the test samples we used in our paper: "A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity"

Streamlit — A faster way to build and share data apps.

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

http://DataScienceSpecialization.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

MODEL PREDICTIVE CONTROL (MPC) CONTROL BASED ON THE QUASI-MIN-MAX ALGORITHM WITH RELAXATION IN LMIS

A MLOps workflow to classify incomes based on publicly available Census Bureau data.

Open source platform for the machine learning lifecycle

An ultra-simplified explanation to design patterns

In this repository you will find TinyML course syllabi, assignments/labs, code walkthroughs, links to student projects, and lecture videos (where applicable).

📊 Python's all-in-one framework for web crawling, scraping, testing, and reporting. Supports pytest. UC Mode provides stealth. Includes many tools.

Latex code for making neural networks diagrams

Python for Finance (O'Reilly)

VIP cheatsheets for Stanford's CS 230 Deep Learning

VIP cheatsheets for Stanford's CS 229 Machine Learning