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.

A programming framework for agentic AI 🤖 (PyPi: autogen-agentchat)

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

Free Data Engineering course!

This is a repo with links to everything you'd ever want to learn about data engineering

Learn OpenCV : C++ and Python Examples

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Neural Networks: Zero to Hero

Free MLOps course from DataTalks.Club

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

Google Brain AutoML

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

LLM Finetuning with peft

Hackers' Guide to Language Models

ebook Machine Learning cơ bản

Transformer OCR

Free hands-on course about Graph Neural Networks using PyTorch Geometric.