21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

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

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

A game theoretic approach to explain the output of any machine learning model.

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

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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…

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

llama3 implementation one matrix multiplication at a time

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

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…

PRML algorithms implemented in Python

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Practice your pandas skills!

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

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

TensorFlow Tutorials with YouTube Videos

Automatic extraction of relevant features from time series:

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Build your neural network easy and fast, 莫烦Python中文教学

Zero-Shot Speech Editing and Text-to-Speech in the Wild

Deep Learning Specialization by Andrew Ng on Coursera.

Using Low-rank adaptation to quickly fine-tune diffusion models.

The "Python Machine Learning (2nd edition)" book code repository and info resource

NYU Deep Learning Spring 2020

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

A scikit-learn compatible neural network library that wraps PyTorch