[ECCV2024] IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild

[ACM Multimedia 2023] Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow.

Odyssey: Empowering Minecraft Agents with Open-World Skills

Code for "Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations"

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking

Social Interpretable Tree for Pedestrian Trajectory Prediction (AAAI22)

Multi-Camera Trajectory Forecasting: Pedestrian Trajectory Prediction in a Network of Cameras. CVPRW, 2020

[SIGGRAPH Asia 2024] ReVersion: Diffusion-Based Relation Inversion from Images

Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks

Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Official PyTorch implementation of paper "Schema Inference for Interpretable Image Classification" (ICLR 2023)

OKDPH： Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation

Some Conferences' accepted paper lists (including AI, ML, Robotic)

[ICCV 2023] Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks

Building Decision Trees From Scratch In Python

OmniXAI: A Library for eXplainable AI

This is the paddle code for SeBoW(Self-Born wiring for neural trees), a kind of neural tree born form a large search space

Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"

Computing various measures and generalization bounds on convolutional and fully connected networks

Diffusion model papers, survey, and taxonomy