[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification

This is the official code repository for "MedMamba: Vision Mamba for Medical Image Classification"

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

[Official Repo] A Survey on Vision Mamba: Models, Applications and Challenges

Mamba SSM architecture

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)

Code to accompany "A Method for Animating Children's Drawings of the Human Figure"

This repo contains the code for our paper An Image is Worth 32 Tokens for Reconstruction and Generation

📚 A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application

[CVPR 2023] SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States

A curated list of resources for Learning with Noisy Labels

A Collection of Variational Autoencoders (VAE) in PyTorch.

A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)

Open source implementation of "Vision Transformers Need Registers"

Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source librarie…

(ICML 2024) PyTorch implementation of "Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes"

Official Pytorch implementation of NeuralWalker

(CVPR 2024) Pytorch implementation of “SURE: SUrvey REcipes for building reliable and robust deep networks”

We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs a…

[ICLR 2024] An official PyTorch implementation of paper 'DOS: Diverse Outlier Sampling for Out-of-Distribution Detection'

This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024

PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022

本人的科研经验

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image