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machine-learning-in-computer-vision
📝 References list for machine learning and deep learning in computer vision.MH2DGRAV
🌏 MH2DGRAV is continuous two-dimension inversion of Gravity data based on Talwani formulation using very fast simulated annealing (VFSA) in MATLAB.MH1DMT
🌏 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 MATLABEDFI
🌏 EDFI is an open-source script to extract data from a 2D or 3D image.finite-volume
🌏 These projects are to create subsurface modeling based on geophysical formulas using finite volume method.awesome-monocular-3d-detectors
📊 A curated list of dedicated resources to research 3D monocular object detection.play-arduino-with-tflite
📷 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
📷 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
👔 professional website.play-with-tflite
📷 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
💻 The minimal OpenCV for GPU-supported Linux (ARM & x86_64).edgeml-rust
⚙️🦀 Implement people detection using torch-rust.awesome-cpp-testing
📋 Collection of awesome C++ resources for testing,Qucom-learning
📑 Learn quantum computers for machine learning tasks.torch-mobile
📱Object detection on mobile devices.mh_kermantau
🌏 This project explains about my independent study at Physics, ITB (2016).mheriyanto
👔 professional profile.play-with-torch
📷 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