neuro-symbolic-sudoku-solver⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
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sudokuA very fast Java Sudoku library implementation along with a command line client
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PlayerDetectionPlayer detection and ball detection in football matches using image processing(opencv).
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rps-cvA Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi
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python-sudoku-generator-solverPython based sudoku generator that can create unique Sudoku board based on 4 difficulty levels. This code also includes a brute force sudoku solver that is capable of solving even the most difficult sudoku puzzles!
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Sudoku-Solver🎯 This Python-based Sudoku Solver utilizes the PyGame Library and Backtracking Algorithm to visualize and solve Sudoku puzzles efficiently. With its intuitive interface, users can input and interact with the Sudoku board, allowing for a seamless solving experience.
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Maix-LogoClassifierA simple logo classifier developed using Maixduino framework and PlatfomIO, to run on K210 MCU on Sipeed's Maix dev board.
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epic-awesome-gamer🍷 Gracefully claim weekly free games and monthly content from Epic Store.
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Skin Lesions Classification DCNNsTransfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
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CV本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络,图像生成网络等,并会持续更新!!!
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MixNet-PyTorchConcise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.
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SudokuThe classic game in its brand new, modern shape. Badges, points & leaderboards included.
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imannotateImage annotation tool to make Machine Learning or others stuffs
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tensorflow-classificationA unified program to check predictions of different convolutional neural networks for image classification.
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mementoOrganize your meme image cluster in a better format using OCR from the meme to sort them using tesseract along with editing memes by segmenting them using OpenCV within a directory
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sudokufxAR Sudoku grabber and solver using JavaCV, JavaFX and Scala
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awesome-computer-vision-modelsA list of popular deep learning models related to classification, segmentation and detection problems
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KerasUIUI for Keras to implement image classification written in python and django
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subwAIScripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification
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mybabeMyBB CAPTCHA Solver using Convolutional Neural Network in Keras
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FaceRecogRealtime Facial recognition system using Siamese neural network
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scarecrowA Raspberry Pi powered, distributed (edge) computing camera setups that runs a Tensorflow object detection model to determine whether a person is on the camera. A plugin model allows actions based on the detection, such as playing audio, turning on lights, or triggering an Arduino.
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UniFormer[ICLR2022] official implementation of UniFormer
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udacity-cvnd-projectsMy solutions to the projects assigned for the Udacity Computer Vision Nanodegree
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aitlasAiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
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catacombThe simplest machine learning library for launching UIs, running evaluations, and comparing model performance.
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metric-transfer.pytorchDeep Metric Transfer for Label Propagation with Limited Annotated Data
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vframeVFRAME: Visual Forensics and Metadata Extraction
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VBT-Barbell-TrackerA proof of concept app to optically track a barbell through its range of motion using OpenCV to give the lifter realtime feedback on concentric avg velocity, cutoff velocity, and displacement for a Velocity Based Training program.
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Tensorflow-Dog-Breed-ClassifierTensorflow Image classifier that can predict the breed of a dog from it photo. Trained on image dataset of 5 different breed of dogs (rottweiler, bulldog, pug, german shepherds, labrador). Interestingly the classifier was able to predict the breed of the dogs even from images of their toys.
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CVComputer Vision applications using #Python and #OpenCV
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UdacityThis repo includes all the projects I have finished in the Udacity Nanodegree programs
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Paper-NotesPaper notes in deep learning/machine learning and computer vision
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computer-visionNotebook series on interesting topics in computer vision
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sinkhorn-label-allocationSinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.
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iterative-grabcutThis algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent.
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OpenCV-Object-TrackingObject Tracking Using OpenCV and Python Plus Comparing different Trackers
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OpenCVBOpenCV .Net application supporting several RGBD cameras - Kinect, Intel RealSense, Luxonis Oak-D, Mynt Eye D 1000, and StereoLabs ZED 2
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Image-ClassificationPre-trained VGG-Net Model for image classification using tensorflow
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shake-drop pytorchPyTorch implementation of shake-drop regularization
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Food-Categories-ClassificationThis repository contains the dataset and the source code for the classification of food categories from meal images.
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