Linking pages
- GitHub - dog-qiuqiu/MobileNet-Yolo: MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB https://github.com/dog-qiuqiu/MobileNetv2-YOLOV3#500kb%E7%9A%84yolo-face-detection 127 comments
- Beyond CUDA: GPU Accelerated Python for Machine Learning on Cross-Vendor Graphics Cards Made Simple | by Alejandro Saucedo | Towards Data Science https://towardsdatascience.com/beyond-cuda-gpu-accelerated-python-for-machine-learning-in-cross-vendor-graphics-cards-made-simple-6cc828a45cc3 80 comments
- GitHub - fffaraz/awesome-cpp: A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff. https://github.com/fffaraz/awesome-cpp 38 comments
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- GitHub - AaronFeng753/Waifu2x-Extension-GUI: Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Super Resolution, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet. https://github.com/AaronFeng753/Waifu2x-Extension-GUI 20 comments
- Multi-camera real-time object detection with WebRTC and YOLO https://softwarescalability.com/editorial/real-time-object-detection-with-webrtc-and-yolo 18 comments
- GitHub - Caerind/AwesomeCppGameDev: A curated list of awesome C++ (mainly) things for Game Development. Inspired by awesome-... stuff. https://github.com/cmdu76/awesomecppgamedev 12 comments
- GitHub - pypa/cibuildwheel: 🎡 Build Python wheels for all the platforms on CI with minimal configuration. https://github.com/pypa/cibuildwheel 6 comments
- dain-ncnn-vulkan/README.md at master · nihui/dain-ncnn-vulkan · GitHub https://github.com/nihui/dain-ncnn-vulkan/blob/master/README.md 5 comments
- Hurricane China as Viewed from Hong Kong - Scriptūrae Insanī - Kalunite.net https://kalunite.net/hurricane-china-as-viewed-from-hong-kong.html 5 comments
- GitHub - riscvarchive/riscv-software-list: The RISC-V software tools list, as seen on riscv.org https://github.com/riscv/riscv-software-list 5 comments
- GitHub - tensorchord/Awesome-LLMOps: An awesome & curated list of best LLMOps tools for developers https://github.com/tensorchord/Awesome-LLMOps 5 comments
- GitHub - AlexeyAB/darknet: YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) https://github.com/AlexeyAB/darknet 4 comments
- Trueface Tutorials: How to Cross Compile Popular Computer Vision C++ Frameworks for Raspberry Pi 4 (ARM32/ARM64) | by Cyrus Behroozi | Trueface | Medium https://medium.com/trueface-ai/trueface-tutorials-how-to-cross-compile-popular-computer-vision-c-frameworks-for-raspberry-pi-4-afcbe2dcc302 4 comments
- GitHub - dog-qiuqiu/FastestDet: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler https://github.com/dog-qiuqiu/FastestDet 2 comments
- GitHub - mikeroyal/Machine-Learning-Guide: Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, and Training Models. https://github.com/mikeroyal/Machine-Learning-Guide 2 comments
- GitHub - ahkarami/Deep-Learning-in-Production: In this repository, I will share some useful notes and references about deploying deep learning-based models in production. https://github.com/ahkarami/Deep-Learning-in-Production 2 comments
- GitHub - dog-qiuqiu/Yolo-Fastest: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+ https://github.com/dog-qiuqiu/Yolo-Fastest 1 comment
- GitHub - amrzv/awesome-colab-notebooks: Collection of google colaboratory notebooks for fast and easy experiments https://github.com/amrzv/awesome-colab-notebooks 0 comments
- Towards GPU-accelerated image classification on low-end hardware | by lnstadrum | Analytics Vidhya | Medium https://medium.com/analytics-vidhya/towards-gpu-accelerated-image-classification-on-low-end-hardware-ec592e125ad9 0 comments
Linked pages
- GitHub - ultralytics/yolov5: YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite https://github.com/ultralytics/yolov5 25 comments
- GitHub - Megvii-BaseDetection/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/ https://github.com/Megvii-BaseDetection/YOLOX 6 comments
- GitHub - ultralytics/yolov3: YOLOv3 in PyTorch > ONNX > CoreML > TFLite https://github.com/ultralytics/yolov3 4 comments
- Model Zoo · BVLC/caffe Wiki · GitHub https://github.com/BVLC/caffe/wiki/Model-Zoo 3 comments
- GitHub - biubug6/Pytorch_Retinaface: Retinaface get 80.99% in widerface hard val using mobilenet0.25. https://github.com/biubug6/Pytorch_Retinaface 1 comment
- GitHub - liuzhuang13/DenseNet: Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award). https://github.com/liuzhuang13/DenseNet 0 comments
- GitHub - WongKinYiu/yolov7: Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors https://github.com/WongKinYiu/yolov7 0 comments
- Netron https://netron.app/ 0 comments
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