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.

Python Data Science Handbook: full text in Jupyter Notebooks

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

🔊 Text-Prompted Generative Audio Model

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Learn OpenCV : C++ and Python Examples

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…

Data and code behind the articles and graphics at FiveThirtyEight

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

This repository contains the source code for the paper First Order Motion Model for Image Animation

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

LAVIS - A One-stop Library for Language-Vision Intelligence

This repository contains demos I made with the Transformers library by HuggingFace.

YSDA course in Natural Language Processing

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Materials for the Hugging Face Diffusion Models Course

Segment Anything in High Quality [NeurIPS 2023]

Segment Anything in Medical Images

Машинное обучение на ФКН ВШЭ

Open-source and strong foundation image recognition models.

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Open Machine Learning course

pytorch implementation of openpose including Hand and Body Pose Estimation.

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

[ECCV 2024] Tokenize Anything via Prompting

Introduction to Mathematical Computing with Python and Jupyter