Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.

Official implementation of AAAI-2024 paper "Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-agnostic Framework Based on Counterfactual Inference"

ActivityPub-federated video streaming platform using P2P directly in your web browser

基于Spring Boot 和 WxJava 实现的微信企业号/企业微信 后端Demo

mallchat的后端项目，是一个既能购物又能聊天的电商系统。以互联网企业级开发规范的要求来实现它，电商该有的购物车，订单，支付，推荐，搜索，拉新，促活，推送，物流，客服，它都必须有。持续更新ing。。（点个star，不迷路）

Official Pytorch implementation of "Probabilistic Cross-Modal Embedding" (CVPR 2021)

This is the official repository to the WACV 2021 paper "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows" by Marco Rudolph, Bastian Wandt and Bodo Rosenhahn.

Implementation of Real NVP in PyTorch

CVPR 2023 Highlight

[CVPR 2024] Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology

Simple, extendable, easy to understand Glow implementation in PyTorch

Pytorch Implementation of OpenAI's GLOW

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.

Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"

Normalizing Flows for Human Pose Anomaly Detection [ICCV 2023]

A Collection of Variational Autoencoders (VAE) in PyTorch.

Official code for AAAI2023 paper "Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection"

[CVPR 2024] Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis

Code for replicating results presented in the paper: "Quantifying Explainers of Graph Neural Networks in Computational Pathology"

This is the official repository for our CVPR 2023 paper 'Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification'.

Downloading and Creating labels for the TCGA lung Whole Slide Images

A library that integrates different MIL methods into a unified framework

Official Pytorch Code of Our Paper: Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification