A simple, fully convolutional model for real-time instance segmentation.
- realtime
- real-time
- instance-segmentation
- yolact
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Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
Python Koans - Learn Python through TDD
- python
- koans
Image augmentation library in Python for machine learning.
- augmentation
- machine-learning
- deep-learning
- neural-networks
A data augmentations library for audio, image, text, and video.
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
- pytorch
- semantic-segmentation
- scene-recognition
- ade20k
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
- pointnet
- pointnet2
- pointcloud
- segmentation
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
- unet
- fpn
- segmentation
- keras
[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving
- autonomous-driving
- end-to-end-autonomous-driving
- motion-prediction
- multi-object-tracking
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
OpenMMLab Text Detection, Recognition and Understanding Toolbox
- pytorch
- ocr
- deep-learning
- text-detection
OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow, Docling, and Opensearch.
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
- deep-learning
- autonomous-driving
- computer-vision
- object-detection
A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.
- agent-memory
- agentic-ai
- ai-reasoning
- episodic-memory
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
- dichotomous-image-segmentation
- salient-object-detection
- camouflaged-object-detection
- background-removal
A large model-based chatbot builder that can quickly integrate AI models (including ChatGPT, Claude, Gemini) into various software applications (such as Telegram, Gmail, Slack, and websites).
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
- artificial-intelligence
- deep-learning
- machine-learning
- segmentation
STUMPY is a powerful and scalable Python library for modern time series analysis
- data-science
- time-series-analysis
- dask
- numba
📈 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.
- surface-detection
- surface-defects
- image-segmentation
- pcb-surface-defect
Harness LLMs with Multi-Agent Programming
A collection of loss functions for medical image segmentation
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.
- single-object-tracking
- video-object-detection
- multi-object-tracking
- video-instance-segmentation
An AI-powered web suite for advanced image processing and generation. VisioCraft integrates state-of-the-art computer vision models; including YOLO, SAM, and LaMa; to provide seamless object extraction, content-aware fill, and image generation through an interactive canvas UI.
- ai-tools
- clean-architecture
- computer-vision
- generative-ai
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