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machine-learning-in-computer-vision
π References list for machine learning and deep learning in computer vision.MH2DGRAV
π MH2DGRAV is continuous two-dimension inversion of Gravity data based on Talwani formulation using very fast simulated annealing (VFSA) in MATLAB.MH1DMT
π MH1DMT is inversion software using LM (Levenberg-Marquardt), SVD (Singular Value Decomposition), SA (Simulated Annealing), VFSA (Very Fast Simulated Annealing), and MVFSA (Modified Very Fast Simulated Annealing) of one-dimension magnetotellurics (MT) in MATLABMH1DDC
π MH1DDC is inversion software using Levenberg-Marquardt (LM) and Singular Value Decomposition (SVD) of one-dimension DC resistivity in MATLAB.EDFI
π EDFI is an open-source script to extract data from a 2D or 3D image.awesome-monocular-3d-detectors
π A curated list of dedicated resources to research 3D monocular object detection.play-arduino-with-tflite
π· Repository for playing the computer vision apps on Nano 33 BLE Sense. Tech stack: Arduino programming language, C++ & TensorFlow Lite C++ API.play-with-ncnn
π· Repository for playing the computer vision apps (FACE analytics) using Tencent ncnn on Raspberry Pi. Tech stack: Python & Docker. Source C++: https://gitlab.com/mheriyanto/play-with-ncnn-devmheriyanto.github.io
π professional website.play-with-tflite
π· Repository for implementation Raspberry Pi & TensorFlow Lite Python API to play AI apps (VEHICLE analytics). Tech stack: Python & Docker. Source C++: https://gitlab.com/mheriyanto/play-with-tflite-devopencv-gpu-lite
π» The minimal OpenCV for GPU-supported Linux (ARM & x86_64).edgeml-rust
βοΈπ¦ Implement people detection using torch-rust.awesome-cpp-testing
π Collection of awesome C++ resources for testing,Qucom-learning
π Learn quantum computers for machine learning tasks.torch-mobile
π±Object detection on mobile devices.mh_kermantau
π This project explains about my independent study at Physics, ITB (2016).mheriyanto
π professional profile.play-with-torch
π· Repository for playing the computer vision apps (PEOPLE analytics) using PyTorch on Raspberry Pi. Tech stack: Python & Docker. Source C++: https://gitlab.com/mheriyanto/play-with-torch-devLove Open Source and this site? Check out how you can help us