abhijeet3922
Interested in building solutions for real world ML applications. Experience with varied forms of practical data, including speech, text, images & high-dim data.
Fidelity InvestmentsBangalore, India
Pinned Repositories
Change-Detection-in-Satellite-Imagery
It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.
Face_ID
Face Recognition using MTCNN face detector and FaceNet (pre-trained by davidsandberg) based identification.
FaceEmotion_ID
Detects Face using Haarcascades and further detects emotion in bounded face (trained a CNN emotion detector model)
finbert_embedding
Token and sentence level embeddings from FinBERT model (Finance Domain)
Image-compression-with-Kmeans-clustering
A lossy compression to illustrate an application of K-means clustering algorithm
Mail-Spam-Filtering
It uses machine learning models (Multinomial NB & SVM) to predict whether the email is spam or ligitimate on two corpus namely Ling-spam corpus and Euron-spam corpus.
PyGender-Voice
It uses GMM to train a gender detector model. The testing has been done on subset of Google's AudioSet corpus.
Speaker-identification-using-GMMs
It uses GMM to train a speaker identification model. The training and testing has been done on subset (34 speakers) from VoxForge data corpus.
Text-classification-and-clustering
It demonstrates the example of text classification and text clustering using K-NN and K-Means models based on tf-idf features.
Topic-Modelling-on-Wiki-corpus
It uses Latent Dirichlet Allocation algorithm to discover hidden topics from the articles. It is trained on 60,000 articles taken from simple wikipedia english corpus. Finally, It can extract the topic of the given input text article.
abhijeet3922's Repositories
abhijeet3922/Change-Detection-in-Satellite-Imagery
It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.
abhijeet3922/Mail-Spam-Filtering
It uses machine learning models (Multinomial NB & SVM) to predict whether the email is spam or ligitimate on two corpus namely Ling-spam corpus and Euron-spam corpus.
abhijeet3922/Speaker-identification-using-GMMs
It uses GMM to train a speaker identification model. The training and testing has been done on subset (34 speakers) from VoxForge data corpus.
abhijeet3922/FaceEmotion_ID
Detects Face using Haarcascades and further detects emotion in bounded face (trained a CNN emotion detector model)
abhijeet3922/finbert_embedding
Token and sentence level embeddings from FinBERT model (Finance Domain)
abhijeet3922/Face_ID
Face Recognition using MTCNN face detector and FaceNet (pre-trained by davidsandberg) based identification.
abhijeet3922/Topic-Modelling-on-Wiki-corpus
It uses Latent Dirichlet Allocation algorithm to discover hidden topics from the articles. It is trained on 60,000 articles taken from simple wikipedia english corpus. Finally, It can extract the topic of the given input text article.
abhijeet3922/Image-compression-with-Kmeans-clustering
A lossy compression to illustrate an application of K-means clustering algorithm
abhijeet3922/PyGender-Voice
It uses GMM to train a gender detector model. The testing has been done on subset of Google's AudioSet corpus.
abhijeet3922/Text-classification-and-clustering
It demonstrates the example of text classification and text clustering using K-NN and K-Means models based on tf-idf features.
abhijeet3922/User-Verification-based-on-Keystroke-Dynamics
To verify a subject's identity based on his keystroke patterns, ie, his typing habits
abhijeet3922/Object-recognition-CIFAR-10
It is object recognition task on CIFAR-10 dataset using CNN. It shows how to achieve 90% accuracy.
abhijeet3922/NL2SQL
Tutorials for converting natural language to SQL (NL2SQL) to fetch required data.
abhijeet3922/Instruction_Finetuning_Tutorials
Train Large Language Models on custom datasets (Tutorials)
abhijeet3922/Sentiment-Analysis-using-tf-idf---Polarity-dataset
It uses term frequency and inverse document frequency to do sentiment polarity analysis on movie reviews.
abhijeet3922/Food-Classification-Task-Transfer-learning
The application demonstrates the advantage of using transfer learning for smaller datasets. Food-11 is a small dataset with 11K images for 11 categories of food. It uses features learnt by already trained VGG16 on large Imagenet data to train a classifier for Food Classification Task..
abhijeet3922/Predict-the-Happiness-HackerEarth-Challenge
It uses 2-layered fully connected/Dense Neural network model to predict whether the hotel reviews at TripAdvisor site are positive sentiment or negative sentiment.
abhijeet3922/tf-fashionMNIST
A tensorflow tutorial on Fashion MNIST Dataset. The aim is to showcase an implementation of tensorflow based deep learning model from scratch.
abhijeet3922/Language-Detection-From-Text---Bi-gram-based
A bi-gram based language model used for language detection task from text
abhijeet3922/NER_Disease_Extraction_Hackathon
"Innoplexus Online Hiring Hackathon: Saving lives with AI" where disease name has to be extracted from documents. The solution employes a Time distributed BI-LSTM model to perform Named Entity Recognition with 77.8% F1 score.
abhijeet3922/QA-system-memory-networks-bAbI-dataset
Building a question and answering system using single layer memory network model on bAbI dataset by facebook. Currently, It is done only for single supporting fact task.
abhijeet3922/WNS-DS-Hackathon
It's a hackathon problem where we have to predict whether an employee will be promoted or not based on features. (HR Analytics)
abhijeet3922/Web-Crawling-Scrapping-Bot
An application to showcase usage of selenium and beautifulsoup to crawl a website and scrap the desired page in order to extract required infromation
abhijeet3922/bert-embedding
🔡 Token level embeddings from BERT model on mxnet and gluonnlp
abhijeet3922/Toxic_Comment_Classification_Challenge
Building a multi-label classification model which predict a probability for each of the six possible types of comment toxicity (toxic, severe_toxic, obscene, threat, insult, identity_hate)
abhijeet3922/bert-as-service
Mapping a variable-length sentence to a fixed-length vector using BERT model
abhijeet3922/darknet
Convolutional Neural Networks
abhijeet3922/opencv
Open Source Computer Vision Library
abhijeet3922/Risks_with_LLMs
A collection of risks and mitigation techniques associated with LLM generation.