Highlights
- Pro
Stars
Dead simple FLUX LoRA training UI with LOW VRAM support
Feature extraction, dimensionality reduction, model benchmarking.
Using vision-language models to decode natural image perception from non-invasive brain recordings.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.
Official inference repo for FLUX.1 models
Python package for extracting representations from state-of-the-art computer vision models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A generative speech model for daily dialogue.
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive arch…
[CVPR 2024 Highlight] Official PyTorch implementation of "MindBridge: A Cross-Subject Brain Decoding Framework"
Generative models for conditional audio generation
Official code repository for the paper: "BrainVis: Exploring the Bridge between Brain and Visual Signals via Image Reconstruction"
matlab and python wrap of crf and dense crf, both 2d and 3d are supported
A collection of resources and papers on Diffusion Models
Code for the paper Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models @ CVPR 2024
[WACV 2024] DREAM: Visual Decoding from Reversing Human Visual System
Official repository for the paper "Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion" by Furkan Ozcelik and Rufin VanRullen.
Source code for <The inevitability and superfluousness of cell types in spatial cognition>
🍷 Scraps data from Vivino and collects outstanding wine-based meta-data.
A collection of diffusion models based on MindSpore
Robust Speech Recognition via Large-Scale Weak Supervision