Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples

Offical implementation of "Spike-driven Transformer" (NeurIPS2023)

[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

CLIP-Lung (MICCAI 2023)

A Python package that uses task-based neurons to build neural networks.

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Official implementation of "FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction"

Code for paper: Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Image-to-Image Translation in PyTorch

新型冠状病毒防疫信息收集平台

The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].

code for calculating image entropy

Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".

Image Super-Resolution by Neural Texture Transfer

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Deep Learning Papers on Medical Image Analysis

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning