🦜🔗 Build context-aware reasoning applications

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.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.

10 Weeks, 20 Lessons, Data Science for All!

The fastai deep learning library

Python programs, usually short, of considerable difficulty, to perfect particular skills.

📡 Simple and ready-to-use tutorials for TensorFlow

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Free MLOps course from DataTalks.Club

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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

YSDA course in Natural Language Processing

Best Practices, code samples, and documentation for Computer Vision.

Automatic extraction of relevant features from time series:

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

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…

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

Collection of useful data science topics along with articles, videos, and code

Jupyter notebooks for the Natural Language Processing with Transformers book

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

SoTA LLM for converting natural language questions to SQL queries