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🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Generative Models by Stability AI
Official inference repo for FLUX.1 models
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
Hackable and optimized Transformers building blocks, supporting a composable construction.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
CUDA accelerated rasterization of gaussian splatting
A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.
PyTorch native quantization and sparsity for training and inference
Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation
xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism
A large-scale text-to-image prompt gallery dataset based on Stable Diffusion