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《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
An open source implementation of CLIP.
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works…
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds
GIM: Learning Generalizable Image Matcher From Internet Videos (ICLR 2024 Spotlight)
A Change Detection Repo Standing on the Shoulders of Giants
[CVPR 2025] MINIMA: Modality Invariant Image Matching
Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, …
The pytorch implementation for "SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images"
[CVPR 2025 Oral] SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images
torchange - A Unified Change Representation Learning Benchmark Library
[ESSD 2025 & IEEE GRSS DFC 2025] Bright: A globally distributed multimodal VHR dataset for all-weather disaster response
[ICME2024 Oral, JSTARS2025] Change detection of remote sensing images
SegEarth-OV3: Exploring SAM 3 for Open-Vocabulary Semantic Segmentation in Remote Sensing Images
[AAAI 2026 Oral] DynamicEarth: How Far are We from Open-Vocabulary Change Detection?
[NeurIPS 2025] DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
The pytorch implementation for "A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection"
[IEEE TGRS 2024] Learning Land-Cover Changes from Satellite and Map Data via Object-Guided Transformer
The pytorch implementation for "SemiCD-VL: Visual-Language Model Guidance Makes Better Semi-supervised Change Detector"
SARCLIP: A Multimodal Foundation Framework for SAR Imagery via Contrastive Language-Image Pre-Training
[IEEE TGRS 2025] Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices
A reliable building footprints change extraction network based on historical map and up-to-date images