ms-heidari

Applied-Deep-Learning

Applied Deep Learning Course

llm-course

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

ct-intensity-segmentation

Introduction to medical image processing with Python: CT lung and vessel segmentation without labels https://theaisummer.com/medical-image-python/

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

gpt-pilot

The first real AI developer

notebooks

code for deep learning courses

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pezzo

🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

GPTScore

Source Code of Paper "GPTScore: Evaluate as You Desire"

MentalLLaMA

This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.

versatile_audio_super_resolution

Versatile audio super resolution (any -> 48kHz) with AudioSR.

CellViT

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

machine-learning

AudioGPT

AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

handson-ml

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

chat-gpt-jupyter-extension

A browser extension to provide various AI helper functions in Jupyter Notebooks, powered by ChatGPT.

chat-gpt-jupyter-extension

A browser extension that lets you chat with ChatGPT from any local Jupyter notebook.

Linear-Algebra-With-Python

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

go

The Open Source Data Science Masters

t81_558_deep_learning

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

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

causalml

Uplift modeling and causal inference with machine learning algorithms