说明：Design and development of deep learning architecture to predict the forthcoming emotion of person , stars:0, update:2024-04-27 19:02:27

说明：Football match analysis using YOLO v8 and OpenCV , stars:0, update:2024-04-28 07:07:54

说明：DeepWeight automates the manual billing process by using a load cell to measure weight, USB camera to capture image, predict fruit type using a deep learning model and printer to print a receipt.

说明：A comprehensive study evaluating 10 CNN image classification models for optimal performance in medical image recognition., stars:5, update:2024-04-27 23:32:53

说明：The Font Recognition project employs a combination of Convolutional Neural Networks (CNNs) and Long Short-Term Memory Recurrent Neural Networks (LSTM RNNs) to recognize fonts from images. This hybrid architecture is chosen for its ability to capture both spatial features from images (via CNNs) and temporal dependencies within sequences of features

说明：This project consists of a web application built with React for the frontend and Flask for the backend. The application allows users to perform neural style transfer on images, where the style of one image is applied to the content of another image to generate visually appealing results. , stars:0, update:2024-04-27 18:51:30

说明：Step into the realm of Emotion Detection Generalization! Uncover the power of deep learning as we decode human emotions from facial images. Explore our arsenal of fine-tuned CNN models and curated datasets, shaping a future where technology empathizes and connects on a deeper level. Revolutionize human- computer interaction with us today! , stars:0, update:2024-04-27 03:43:45

说明：This PyTorch-based project implements a deep neural network for multi-class classification of fashion items. The dataset consists of images categorized into three classes: glasses vs. sunglasses, shoes, and trousers vs. jeans.

说明：This project is a component of the "DATAFTOUR" initiative spearheaded by the "MDS community" This initiative is to delve into explore management systems for Moroccan agriculture to detect pests and diseased leaves ?? , stars:0, update:2024-04-26 21:14:35

说明：Early detection of Autism Spectrum Disorder (ASD) is crucial for children s development, yet the diagnostic procedure remains challenging. EyeTism employs machine learning on eye tracking data from both high-functioning ASD and typically developing children (TD) to create a diagnostic tool based on their distinct visual attention patterns.

说明：A General Tracking Framework for ML-based Time-Symmetric Tracking., stars:1, update:2024-04-25 23:26:44

说明：A Simple Template For A PyTorch Classification Project ??, stars:1, update:2024-04-25 18:58:56

说明：Classifying a emotions from an image is accomplished through a Convolution Neural Network (CNN) model, with implementation conducted in TensorFlow.

说明：Multi-classification of ocular diseases using ODIR-5K and uses explainable AI methods to improve the transparency of computer aided diagnostic systems.

说明：Click below to checkout the website , stars:0, update:2024-04-21 19:14:29

说明：Machine Learning and Deep Learning projects on various datasets. , stars:0, update:2024-04-24 04:44:33

说明：uds stands for "Udacity Driverless System". It is a Udacity Autonomous Driving System based on Deep Learning. , stars:0, update:2024-04-24 17:09:48

说明：Cria??o de uma biblioteca para manipula??o de modelos neurais de aprendizagem de máquina , stars:2, update:2024-04-24 06:05:29

说明：Predi??o de peso de peixes utilizando técnicas de vis?o computacional, stars:2, update:2024-04-23 19:34:06

说明：Comparing centralised machine learning and federated learning using flower framework., stars:1, update:2024-04-23 07:14:19

说明：TVG-1, built to advance oncology & enhance medical diagnosis of brain tumours. Currently has a whopping 22 million parameters , stars:2, update:2024-04-23 05:01:48

说明：Python Code on Machine Learning Models for CPE 490 590 Machine Learning Course at the University of Alabama in Huntsville , stars:0, update:2024-04-18 20:35:10

说明：Developed a Smart Crop Recommendation System with Plant Disease Identification using machine learning and CNNs. Assists farmers in crop selection, planting, and disease management. Integrated with weather and geolocation APIs for user- friendly experience and improved agricultural productivity. , stars:0, update:2024-04-22 19:19:22

说明：This project is an approach to the development of plant disease recognition model, based on leaf image classification, by the use of deep convolutional networks. The developed model is able to recognize 38 different types of plant diseases out of of 14 different plants.

说明：gRPC Microservice in Python that uses a CNN model (trained with EMOTIC Dataset) to recognise emotions from persons (requires bounding box data) in images. , stars:0, update:2024-04-18 15:05:38

说明：Real-Time Digit Recognition with TensorFlow and OpenCV This Python script uses TensorFlow and OpenCV for real-time digit recognition from a webcam feed. It trains a CNN model on the MNIST dataset and predicts digits in real-time from the video stream.

说明：Based on Haddelin and Kirill s Course " Machine Learning A-Z: AI, Python & R". This is the repository of all Classical ML Algorithms Templates IN python .

说明：在车牌定位方面,首先分析了我国机动车号牌的特征,然后采用基于数学形态学的车牌定位方式,接着采用了改进的Bernsen算法进行车牌图像二值化,并对采样数据进行了实验,结果表明,采用该方法车牌定位准确率高。在字符切分方面,首先根据车牌的规格确定车牌字符区域的上下边界,接着用基于第二个字符的字符切分方法对车牌进行字符切分,最后对第一个字符和最后一个字符的宽度进行调整。并对采样数据进行了实验,结果表明该方法切分速度快,同时保证了字符切分的正确率,效果良好。在字符识别方面，利用Pytorch深度学习框架，采用卷积神经网络（CNN）搭建字符识别模型，对分割出的车牌区域进行字符识别。

说明：This project aims to detect brain tumors using Convolutional Neural Networks (CNN). The model is trained on a dataset of brain MRI images, consisting of both tumor and non-tumor cases, to predict whether a tumor is present or not with an accuracy of approximately 98%. , stars:0, update:2024-04-20 13:22:57

说明：The project entails different approaches for the image classification problem, starting with basic CNN and KNN to State of the Art technologies