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This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.
Arena-Hard-Auto: An automatic LLM benchmark.
Redstone EDEN: Undo & Redo | Ctrl+Z | Mineacrft Debugger | Redstone Version Control | Any amazing features you can image!
📖 北京理工大学非官方 LaTeX 模板集合，包含本科、研究生毕业设计模板及更多。🎉 （更多文档请访问 wiki 和 release 中的手册）
Enhanced ChatGPT Clone: Features Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, langchain, D…
[ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung …
Meta graph convolutional neural network-assisted resilient swarm communications
Code implementation of "Cooperative Trajectory Design of Multiple UAV Base Stations with Heterogeneous Graph Neural Networks".
FlyNetSim: An Intergrated UAV-Network Simulator
Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)
An all-purpose window upscaler for Windows 10/11.
A tutorial showing how to set up TensorFlow's Object Detection API on the Raspberry Pi
An intellligent car based on Raspberry Pi: obstacle avoidance, video transimission, object detection, tennis tracking; 基于树莓派的智能小车：自动避障，实时图像传输，目标检测，网球追踪；
基于stm32以及openmv的视觉云台追踪小车
使用ONNXRuntime部署百度飞桨开源PP-Vehicle车辆分析，包含车辆检测，识别车型和车辆颜色，车牌检测，车牌识别5个功能，不依赖PaddlePaddle就能运行，包含C++和Python两个版本的程序
深度学习车牌检测与识别，检测结果包含车牌矩形框和4个角点，基于pytorch框架运行
使用opencv部署深度学习车牌检测与识别，包含Python和C++两种版本的实现
分别使用OpenCV、ONNXRuntime部署yolov5检测车牌和4个角点，包含C++和Python两个版本的程序
使用OpenCV部署yolov8检测人脸和关键点以及人脸质量评价，包含C++和Python两个版本的程序，只依赖opencv库就可以运行，彻底摆脱对任何深度学习框架的依赖。
使用onnxruntime部署实时视频帧插值，包含C++和Python两个版本的程序
🔥🔥🔥 专注于YOLOv5，YOLOv7、YOLOv8、YOLOv9改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
🔥🔥🔥专注于改进YOLOv8模型，NEW - YOLOv8 🚀 RT-DETR 🥇 in PyTorch >, Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
[CVPR 2023] Official implementation of the paper "Lite DETR : An Interleaved Multi-Scale Encoder for Efficient DETR"