Zhou Chaofan

hello-agents. 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

Industrial-ML. An overview of cases, public datasets, books and academic papers related to applying ML in industrial applications

OpenLTM. Implementations, Pre-training Code and Datasets of Large Time-Series Models

LLM-based-PHM. This is a reposotory that includes paper about LLM-based fault diagnosis and prognosis. (基于大模型的故障诊断和预测，持续更新)

RmGPT.

Time-Series-Library. A Library for Advanced Deep Time Series Models for General Time Series Analysis.

ERNIE. The official repository for ERNIE 4.5 and ERNIEKit – its industrial-grade development toolkit based on PaddlePaddle.

awesome-industrial-anomaly-detection. Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

deep-learning-for-image-processing. deep learning for image processing including classification and object-detection etc.

mmdetection-mini. mmdetection最小学习版

detrex. detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

Salience-DETR. [CVPR 2024] Official implementation of the paper "Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement"

CVPR2026-Papers-with-Code. CVPR 2026 论文和开源项目合集

autolabel. Label, clean and enrich text datasets with LLMs.

VoTT. Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

X-AnyLabeling. Effortless data labeling with AI support from Segment Anything and other awesome models.

mmdetection. OpenMMLab Detection Toolbox and Benchmark

ChatPaper. Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

PyTorch-VAE. A Collection of Variational Autoencoders (VAE) in PyTorch.

anomalib. An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

PatchCore_anomaly_detection. Unofficial implementation of PatchCore anomaly detection

transformers. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

pytorch-segmentation. :art: Semantic segmentation models, datasets and losses implemented in PyTorch.

Yet-Another-EfficientDet-Pytorch. The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

avalanche. Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

models. Models and examples built with TensorFlow

TResNet. Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

pytorch-image-models. The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Surface-Defect-Detection. 📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

fast-reid. SOTA Re-identification Methods and Toolbox

labelImg. LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

Deformable-DETR. Deformable DETR: Deformable Transformers for End-to-End Object Detection.

automl. Google Brain AutoML

KL-Loss. Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)

mixed-segdec-net-comind2021. Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"

Stitcher. Python

icevision. End-to-End Object Detection Library - Unified Data API (Annotation Parsers) - Pluggable to any Training Library (fastai, Pytorch)