猛码Memmat's repositories
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
ccf-deadlines
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
cs-self-learning
计算机自学指南
DragGAN
Official Code for DragGAN (SIGGRAPH 2023)
insightface
State-of-the-art 2D and 3D Face Analysis Project
LabelImage
一款在线图像标注工具（矩形、多边形、持续更新中……），可用于深度学习实例分割模型训练（Mask R-CNN）等。
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Video-ChatGPT
"Video-ChatGPT" is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.
Paddle-Lite-Demo
lib, demo, model, data
PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
Pytorch_Retinaface
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
QGIS
QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)
RSPapers
A Curated List of Must-read Papers on Recommender System.
segment-anything
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.
segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/