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annotated_deep_learning_paper_implementations

🧑‍🏫 labmlai/labml.ai 深度学习论文实现：60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

deep-learning-for-image-processing

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

duoyaun-mmif-cddfuse

[CVPR 2023] Official implementation for "CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion."

duoyuan-msrs

MSRS: Multi-Spectral Road Scenarios for Practical Infrared and Visible Image Fusion

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

image-fusion--

Deep Learning-based Image Fusion: A Survey

objectdetection_script--

B站上魔鬼面具up主的git仓库，还有购买链接

oneforall_mask2former_yolov5

第二届广州·琶洲算法大赛-智能交通CV模型赛题第4名方案

pytorch-examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

sardet_100k

Offical implementation of MSFA and release of SARDet_100K dataset for Large-Scale Synthetic Aperture Radar (SAR) Object Detection

sjxxrh

Config files for my GitHub profile.

slbaf-net

红外+可见光+yolov5Use visible and infrared images to train the network. This method is better to face the dark environment.

soda-mmdetection

OpenMMLab Detection Toolbox and Benchmark

soda-mmrotate

OpenMMLab Rotated Object Detection Toolbox and Benchmark

tardal----

CVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

vsff--matlab--sar--

x-anylabeling

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

yolov10

YOLOv10: Real-Time End-to-End Object Detection

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information