Examples and guides for using the OpenAI API

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

12 Lessons to Get Started Building AI Agents

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

10 Weeks, 20 Lessons, Data Science for All!

The fastai deep learning library

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…

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

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

Code for Machine Learning for Algorithmic Trading, 2nd edition.

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Python training for business analysts and traders

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

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

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focuse…

Code repository for O'Reilly book

A simple notebook demonstrating prompt-based music generation via Mubert API

Collection of notebook guides created by the Brev.dev team!

NLP Zero to Hero in just 10 Kernels

Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning