Pinned Repositories
Basic-Machine-Learning-And-Neural-Networks
Machine learning and Deep learning methods
Car-and-Pedestrian-Detection
Detecting car and pedestrian in a video. OpenCV
Counting-Circles-and-Ellipses-OpenCV
Counting number of circles and number of ellipses in an image.
CPSC-483--machine-learning
CPSC 483 - Machine Learning Projects.
Decision-Level-Fusion-of-Face-Fingerprint-and-Ear
A multimodal biometric authentication application using CNN and considering three of the user’s biological traits: Face, Fingerprint, and Ear
Face-Recognition-with-VGGFace2
Face Recognition with VGGFace2
Generative-Adversarial-Networks
Generating new images with GANs
Object-Detection-in-Video
Detecting objects in a video using SSD (Single Shot MultiBox Detector) and PyTorch.
Recommender-System
Recommender systems using different approaches: Collaborative Filtering, Boltzmann Machine, AutoEncoders.
Speaker-Recognition
A speaker recognition application using the Mel frequency cepstral coefficient and Gaussian mixture models.
Meetkumar1's Repositories
Meetkumar1/Face-Recognition-with-VGGFace2
Face Recognition with VGGFace2
Meetkumar1/Decision-Level-Fusion-of-Face-Fingerprint-and-Ear
A multimodal biometric authentication application using CNN and considering three of the user’s biological traits: Face, Fingerprint, and Ear
Meetkumar1/Object-Detection-in-Video
Detecting objects in a video using SSD (Single Shot MultiBox Detector) and PyTorch.
Meetkumar1/Basic-Machine-Learning-And-Neural-Networks
Machine learning and Deep learning methods
Meetkumar1/Car-and-Pedestrian-Detection
Detecting car and pedestrian in a video. OpenCV
Meetkumar1/Counting-Circles-and-Ellipses-OpenCV
Counting number of circles and number of ellipses in an image.
Meetkumar1/CPSC-483--machine-learning
CPSC 483 - Machine Learning Projects.
Meetkumar1/Generative-Adversarial-Networks
Generating new images with GANs
Meetkumar1/Recommender-System
Recommender systems using different approaches: Collaborative Filtering, Boltzmann Machine, AutoEncoders.
Meetkumar1/Speaker-Recognition
A speaker recognition application using the Mel frequency cepstral coefficient and Gaussian mixture models.
Meetkumar1/CPSC-585-Project-Artificial-Neural-Network
Meetkumar1/CPSC585
Code and Assignments for Artificial Neural Networks Class @ CSUF
Meetkumar1/Data-Analysis-And-Data-Visualization-Using-Python
Meetkumar1/Decision-Tree-and-Random-Forest
Predicting whether or not the borrower would pay back
Meetkumar1/Deep-Learning-Tensorflow
Predicting the authenticity of a Bank Note.
Meetkumar1/deployment
Meetkumar1/Face-Detection
Face Detection using two different techniques
Meetkumar1/Face-Recognition-Using-FaceNet
Meetkumar1/Finding_waldo-OpenCV_mini_project
Finding Waldo in a image
Meetkumar1/Handwritten-Digit-Recognition
Recognizing the handwritten digit from an image using OpenCV and Cascade Classifier.
Meetkumar1/K-Means-Clustering
Cluster Universities into two groups, Private and Public.
Meetkumar1/K-Nearest-Neighbours
Meetkumar1/Linear-Regression
A machine learning model that predicts house prices.
Meetkumar1/Logistic-Regression
Predicting whether or not user will click on an advertisement.
Meetkumar1/Natural-Language-Processing
Spam or Ham classification and Yelp Review classification.
Meetkumar1/Number-Plate-Recognition
Automatic Number-Plate Recognition using PyTesseract OCR Reader.
Meetkumar1/Principal-Component-Analysis
Meetkumar1/Recurrent-Neural-Network
Predicting stock prices for next month using Recurrent Neural Network LSTM.
Meetkumar1/Self-Organizing-Maps
Self organizing map for credit card application dataset to detect frauds.
Meetkumar1/Support-Vector-Machines