sdessai31

sdessai31's Stars

• microsoft/Deep3DFaceReconstruction

  Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)

  Language:Python2.2k69208445

• microsoft/SoftTeacher

  Semi-Supervised Learning, Object Detection, ICCV2021

  Language:Python90224224123

• facebookresearch/WSL-Images

  Weakly Supervised Learning On Images

  Language:Python599172163

• mailong25/self-supervised-speech-recognition

  speech to text with self-supervised learning based on wav2vec 2.0 framework

  Language:Python3801366115

• mahaveerverma/hand-gesture-recognition-opencv

  A project on hand detection and hand gesture recognition developed using OpenCV on Python 2.7.

  Language:Python3191719132

• soumik12345/Kinect-Vision

  A computer vision based gesture detection system that automatically detects the number of fingers as a hand gesture and enables you to control simple button pressing games using you hand gestures.

  Language:Jupyter Notebook533113

• MoAbd/Spam-detection

  Email Spam-detection is an ANN app with TensorFlow. The idea is simple - given an email you’ve never seen before, determine whether or not that email is Spam

  Language:Jupyter Notebook402119

• Sardhendu/CIFAR10-Object-Recognition

  {Python}: Mix-Match of several image Processing and Machine Learning Techniques for object recognition

  Language:Jupyter Notebook10300

• rexagod/matcher-core

  Pattern-mining module for detecting key-points in images 🎈

  Language:JavaScript95115

• devGhiles/face_recognition

  Face recognition based on eigenfaces and using a naive bayes classifier.

  Language:Python7002

• MohammadNuramin/Tweet-Spammer

  spamming. The presence of spam on web services such as search engines, email providers or online networking services can be manifested in many ways including spam advertising, malicious links, fake news or fake friends but also manipulation attempts. For online social network, tracking and controlling spammers are of the upmost importance due to the security risk but also for the credibility of the information that they disseminate. The objective of this project is to study Twitter’s social spam by means of both data mining, machine learning and data analysis techniques (that you have learned so far in any course!) using a dataset containing information on 767 social spammers and legitimate users crawled from Twitter in November and December 2014 and July 2018. In this project you have firstly to solve the spam detection problem and secondly to analyse the dataset using methods presented during the lessons of data mining.

  Language:Jupyter Notebook61

• nimish931999/Sentiment-Analysis

  In this project we will be performing Sentiment Analysis and predicting whether the review is negative or positive using Logistic Regression.

  Language:Jupyter Notebook52

• BD-MF/Image-Processing-and-ML-approach-to-Sinhala-Handwritten-Character-Recognition-

  Sinhala handwritten character recognition system based on image processing concepts and Machine Learning approach.Isolated sinhala handwritten characters are taken as inputs and corresponding unicode character displays after going through several processes. As the feature extraction process I have proposed main three approaches; Ratio based Freeman Chain Code algorithm, Zone based density features and distance profile based approach. CSV file includes features corresponding to each sinhala handwritten characters. Support Vector Machine (SVM) Machine Learning approach is used as the train model.

  Language:Jupyter Notebook4000

• BhushanKumarSingh/Smart-Attendence-System-Using-Image-processing

  Using Image processing And Machine learning attendance system

  Language:Python4

• davreign-dav/Fake-News-Detection

  Machine Learning Project | Logistic Regression | Random Forest Classifier | Decision Tree Classifier

  Language:Jupyter Notebook4

• SolimanGalal/Monitoring-plant-growth

  The idea of project is Detecting and identification of plant diseases using computer vision and deep learning techniques(CNN (Convolution neural network)) by images of plants

  Language:Python4

• suinaowawa/Image-Processing-Project

  Traffic sign recognition with machine learning approach

  Language:Jupyter Notebook41

• MohammadMahdiOmid/Virtual-Irrigation

  Machine Learning & Image Processing

  Language:Python3102

• munemu82/ImageProcessingAndObjectRecognition

  A python implementation of most of my master thesis research on Object recognition and Machine learning.

  Language:Python32

• Sakonii/Ocular-Parking-System-v2

  Implementing machine learning and image processing to obtain information of parking lots

  Language:Python30

• sumansid/Naive-Bayes-Classifier-Algorithm

  Naive Bayes Classifier Algorithm used for Spam email classification (Trained using Spam Assassin Corpus). This algorithm is based on Multinomial Naive Bayes.

  Language:Jupyter Notebook3200

• iAhsanJaved/ANPR

  🚗 Automatic Number Plate Recognition using Image Processing and Machine Learning

  Language:C++2103

• ire-mide1/Facial-Recognition-Project

  Using Logistic Regression

  Language:Jupyter Notebook2

• yadavraju/Machine-Learning-Project-

  Detection Of Plant Disease Using Image Processing and Neural Network(MUM)

  Language:Java2100

• ashishpatel26/Naive-Bayes-SMS-Spam-Collection

  In this project I will be using the Naive Bayes algorithm to create a model that can classify SMS messages as spam or not spam, based on the training I give to the model.

  Language:Python1303

• JayShimpi22/EmailSpamDetection

  A small project inspired from the google's email segregation into spam or not spam using naivebayes classifier

  Language:Jupyter Notebook10

• lsnsol/NLP-Based-Comments-Classification

  Segregation of comments, NLP based Project

  Language:Python1100

• manish2202/Image-Processing-B.E.-Final-Year-Project-

  Malaria Cell Detection using Machine Learning

  Language:Python1100

• rachelbdavid/sms-spam-detection

  Detecting spam SMS using supervised machine learning algorithms

  Language:Jupyter Notebook11

• Vaishanavi13/Customer-Segregation-ML

  Machine Learning Project on Customer Segregation using K=Means Classifier

  Language:Python1