Stars
A latent text-to-image diffusion model
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.
🔊 Text-Prompted Generative Audio Model
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A game theoretic approach to explain the output of any machine learning model.
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…
StableLM: Stability AI Language Models
A multi-voice TTS system trained with an emphasis on quality
This repository contains implementations and illustrative code to accompany DeepMind publications
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
High-Resolution Image Synthesis with Latent Diffusion Models
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
QLoRA: Efficient Finetuning of Quantized LLMs
Code release for NeRF (Neural Radiance Fields)
Best Practices, code samples, and documentation for Computer Vision.
Using Low-rank adaptation to quickly fine-tune diffusion models.
Flax is a neural network library for JAX that is designed for flexibility.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A unified framework for 3D content generation.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Taming Transformers for High-Resolution Image Synthesis
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
A collection of infrastructure and tools for research in neural network interpretability.