[NeurIPS 2024] Code release for NeuroBOLT

A contrastive learning based semi-supervised segmentation network for medical image segmentation

6D Pose Annotation Tool and Real-time Visualization - Vision6D for supporting users to annotate the 6D pose of a given 3D object for any given 2D images and depth estimation. This 6D pose annotatio…

Segment Anything 2 for Surgical Video Segmentation

Refine high-quality datasets and visual AI models

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

正确的姿势，学习的态度来刷 LeetCode：高效的代码、简洁的注释、精炼的总结。

This notebook is based on the paper Denoising Diffusion Probabilistic Models by Jonathan Ho, Ajay Jain and Pieter Abbeel. The porpuse of this notebook is to understand the basic idea of the paper.

Implement a MNIST(also minimal) version of denoising diffusion probabilistic model from scratch.The model only has 4.55MB.

The official implementation for paper: False Negative/Positive Control for SAM on Noisy Medical Images

Deep and online learning with spiking neural networks in Python

Fine-tune Segment-Anything Model with Lightning Fabric.

EEG microstate analysis during anesthesia

Source files for "Learning Statistics with R"

elevator system coded with python

Self-supervised monocular depth estimation with a vision transformer

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

Self-Supervised 3D Mesh Reconstruction from Single Images (CVPR2021)

A repository for semi supervised image segmentation using Mean Teacher

Context Axial Reverse Attention Network for Small Medical Objects Segmentation

mean-teacher method for segmentation

[MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation"

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

Fast and differentiable MS-SSIM and SSIM for pytorch.

Pytorch implementation of DUT: Learning Video Stabilization by Simply Watching Unstable Videos

Lobe Segmentation

The official PyTorch implementation of the paper "Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection".