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A latent text-to-image diffusion model
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
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…
A game theoretic approach to explain the output of any machine learning model.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
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…
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…
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…
A collection of various deep learning architectures, models, and tips
llama3 implementation one matrix multiplication at a time
A multi-voice TTS system trained with an emphasis on quality
PyTorch code and models for the DINOv2 self-supervised learning method.
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Best Practices, code samples, and documentation for Computer Vision.
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
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:
Image restoration with neural networks but without learning.
this repository accompanies the book "Grokking Deep Learning"
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A course in reinforcement learning in the wild
A scikit-learn compatible neural network library that wraps PyTorch
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
A Bulletproof Way to Generate Structured JSON from Language Models
An Open Source text-to-speech system built by inverting Whisper.