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

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

🔊 Text-Prompted Generative Audio Model

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The fastai deep learning library

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

🤖 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…

Learn OpenCV : C++ and Python Examples

A guidance language for controlling large language models.

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…

Instruct-tune LLaMA on consumer hardware

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…

StableLM: Stability AI Language Models

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

The "Python Machine Learning (1st edition)" book code repository and info resource

Foundational Models for State-of-the-Art Speech and Text Translation

LAVIS - A One-stop Library for Language-Vision Intelligence

QLoRA: Efficient Finetuning of Quantized LLMs

Code release for NeRF (Neural Radiance Fields)

Official inference library for Mistral models

PhotoMaker [CVPR 2024]

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

Automatic extraction of relevant features from time series:

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Labs and demos for courses for GCP Training (http://cloud.google.com/training).