Stars
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
[CVPR 2023] Regularizing Second-Order Influences for Continual Learning
Official implementation of CVPR 2023 paper Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation.
PFM and PEFM for Image Anomaly Detection and Segmentation
[NeurIPS2023] Code release for "Hierarchical Open-vocabulary Universal Image Segmentation"
Interactive Data Visualization in the browser, from Python
Official Code for DragGAN (SIGGRAPH 2023)
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
novel deep learning research works with PaddlePaddle
🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.
[CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD
An open source implementation of CLIP.
[NeurIPS 2023] Offical code for <Real3D-AD: A Dataset of Point Cloud Anomaly Detection>. A 3D point cloud anomaly detection dataset and benchmark.
CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!
🎉 Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge. 基于中文法律知识的大语言模型
[CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".
[PR] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
Awesome papers on 3D anomaly detection and localization
Reverse engineered API of Microsoft's Bing Chat AI
[IEEE TIM] An Incremental Knowledge Learning Framework for Continuous Defect Detection
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"
Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".