Pinned Repositories
AUTO_COMPLETE_STREAMLIT
Lazy of typing the whole sentence?? Use my TEXT AUTO COMPLETION app. This app was trained using BI-LSTM and deployed to Streamlit Sharing.
BREAST_CANCER_PREDICTION
This model classifies the breast tumors into Malignant and Benign. This model was trained over 300 epochs and you can indeed see the value of the loss function decreasing gradually!
Captiongen3rator
This image captioning model generates the captions for the image using CNN and RNN. This model is trained on the Flicker8K dataset.
Digits_recognition
This digits_recognition model is used for predicting the handwritten digits from 0 to 9. I've used KNN for training on MNIST Handwritten Dataset which is available in CSV format.
FACE_RECOGNITION_USING_OpenCV
A facial recognition system is a technology capable of matching a human face from a digital image or a video frame against a database of faces. In this model only the Haarcascades of a face is used for comparing the facial features with that of the input face.
FAKE-NEWS-DETECTOR
This model used here is PassiveAggressiveClassifier, which is one of the very few online learning algorithms. The Dataset [ news.csv ]consists of 4 columns. Only 'text' and 'label' columns is enough for our model to classify the given news as FAKE or REAL.
MBART_50_STREAMLIT_TRANSLATOR
AN OCR AND MULTILINGUAL MACHINE TRANSLATOR USING 🤗HUGGING FACE. Upload a high quality image with proper font and get the required TRANSLATIONS.
NER_STREAMLIT
A genreal purpose Named Entity Recognition model using Spacy v3. This web app was built using streamlit and deployed to Heroku.
OCR_TEXT_EXTRACTOR
Optical Character Recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text. This Text Extractor web app was deployed to Heroku, written using Flask.
SMILE_DETECTOR
This Smile Detector model is developed using The Viola-Jones Algorithm. This model detects and places a bouncing box over the mouth of the person only if he/she is smiling or else only the face will be detected.
NAVANEETHELITE's Repositories
NAVANEETHELITE/AUTO_COMPLETE_STREAMLIT
Lazy of typing the whole sentence?? Use my TEXT AUTO COMPLETION app. This app was trained using BI-LSTM and deployed to Streamlit Sharing.
NAVANEETHELITE/MBART_50_STREAMLIT_TRANSLATOR
AN OCR AND MULTILINGUAL MACHINE TRANSLATOR USING 🤗HUGGING FACE. Upload a high quality image with proper font and get the required TRANSLATIONS.
NAVANEETHELITE/SMILE_DETECTOR
This Smile Detector model is developed using The Viola-Jones Algorithm. This model detects and places a bouncing box over the mouth of the person only if he/she is smiling or else only the face will be detected.
NAVANEETHELITE/BREAST_CANCER_PREDICTION
This model classifies the breast tumors into Malignant and Benign. This model was trained over 300 epochs and you can indeed see the value of the loss function decreasing gradually!
NAVANEETHELITE/Captiongen3rator
This image captioning model generates the captions for the image using CNN and RNN. This model is trained on the Flicker8K dataset.
NAVANEETHELITE/Digits_recognition
This digits_recognition model is used for predicting the handwritten digits from 0 to 9. I've used KNN for training on MNIST Handwritten Dataset which is available in CSV format.
NAVANEETHELITE/FACE_RECOGNITION_USING_OpenCV
A facial recognition system is a technology capable of matching a human face from a digital image or a video frame against a database of faces. In this model only the Haarcascades of a face is used for comparing the facial features with that of the input face.
NAVANEETHELITE/FAKE-NEWS-DETECTOR
This model used here is PassiveAggressiveClassifier, which is one of the very few online learning algorithms. The Dataset [ news.csv ]consists of 4 columns. Only 'text' and 'label' columns is enough for our model to classify the given news as FAKE or REAL.
NAVANEETHELITE/GRIPMARCH2021
NAVANEETHELITE/Human-Activity-Recognition-using-Transfer-Learning
NAVANEETHELITE/IMDB_REVIEWS_CLASSIFICATION
This model is used for classifying the movie reviews besed on the sentiment given (positive or negative). This naive_bayes model was trained on the IMDB benchmark dataset.
NAVANEETHELITE/Iris_Classifier
A simple model to Predict the class of IRIS flower.!
NAVANEETHELITE/KMEANS_IMAGE_SEGMENTATION
Image segmentation is partitioning an image into regions (pixels) having similar visual appearanace corresponding to parts of objects. We will extract the dominant 'K' colors from the image using KMeans (say 4). We will apply KMeans to each pixels, which will be reassigned to closest of the K-colors, leading to segmentation.
NAVANEETHELITE/ML-Prerequisites
NAVANEETHELITE/MOVIE_RECOMMENDATION
This is a simple movie recommendation model recommends movies based on the correlation found between the movies present in the dataset.
NAVANEETHELITE/NAVANEETHELITE
NAVANEETHELITE/NER_STREAMLIT
A genreal purpose Named Entity Recognition model using Spacy v3. This web app was built using streamlit and deployed to Heroku.
NAVANEETHELITE/NER_USING_BI-LSTM
Named Entity Recognition (NER) is a task of Natural Language Processing to identify the named entities in a certain piece of text, Eg: Name of a person, Name of an organization, etc..I have used BI-LSTM model for this task.
NAVANEETHELITE/NEXT_WORD_PREDICTION
Most of the keyboards in smartphones give next word prediction features. Google uses next word prediction based on our browsing history. So a preloaded data will be stored in the keyboard function of our smartphones to predict the next word correctly. This LSTM model is trained for 40 epochs and gave an accuracy of 69%.
NAVANEETHELITE/OCR_TEXT_EXTRACTOR
Optical Character Recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text. This Text Extractor web app was deployed to Heroku, written using Flask.
NAVANEETHELITE/PERCEPTRON_NAV
NAVANEETHELITE/ROOT2AI
NAVANEETHELITE/SVM-IMAGE-CLASSIFICATION
This SVM model is used for classifying the images between Dogs, Cats, Horses and Humans.
NAVANEETHELITE/Branchtest
testing git branched
NAVANEETHELITE/git_cat3
learn it.