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🦜🔗 Build context-aware reasoning applications
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.
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
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…
StableLM: Stability AI Language Models
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Neural Networks: Zero to Hero
High-Resolution Image Synthesis with Latent Diffusion Models
PRML algorithms implemented in Python
LAVIS - A One-stop Library for Language-Vision Intelligence
PyTorch code and models for the DINOv2 self-supervised learning method.
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
Multi-Joint dynamics with Contact. A general purpose physics simulator.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
A series of large language models trained from scratch by developers @01-ai
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
Using Low-rank adaptation to quickly fine-tune diffusion models.
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
CoreNet: A library for training deep neural networks
A unified framework for 3D content generation.
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Segment Anything in High Quality [NeurIPS 2023]