SachJbp
Sr Data Scientist at HiddenLayer. Working to protect AI-powered systems from cyberattacks.
HiddenLayerUnited States
Pinned Repositories
abstractive-text-summarization
PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.
Attendance-System
This is a part of explorations to build an attendance system using the best available techniques.
Binary_Classifier_using_CNN
This is a CNN which I have fully trained from scratch , it identifies whether a photo is mine or not. The training set was quite small , but the test accuracy ended up being >90%
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
Cross-Modal-Retrieval-using-CMFH
Mathematical-Modeling-of-a-spinning-ball-in-cricket
An academic project to model the spinning cricket ball in different pitch and wind conditions
MovieReviewSentimentPredictor
This is a part of an ongoing academic project for Course 50:198:441 Cloud Computing. I have used Gaussian Naive Bayes algorithm to train a Movie Review sentiment classifier (positive or negative). I have used IMDB data set to train the model and deployed the model on Google Cloud Platform (GCP).I have also made a simple webapp using Flask to help use the model to predict sentiment of a review.
recommendation-engine
Deliverables for the Recommendation Engine project for CS562 (Big Data Algorithms). Detailed information about the assignment is available at https://github.com/geoffrey-young/RecommendationEngine
Similar-Image-Search-using-FastAI-and-LSH
This is a part of exploration of FastAI and LSH to enable fast similar image search. We use a Resnet-34 pretrained model and use itt get to embeddings for Caltech-101 dataset
TextDecepter
Hard Label Black Box attack on NLP
SachJbp's Repositories
SachJbp/Cross-Modal-Retrieval-using-CMFH
SachJbp/TextDecepter
Hard Label Black Box attack on NLP
SachJbp/abstractive-text-summarization
PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.
SachJbp/Attendance-System
This is a part of explorations to build an attendance system using the best available techniques.
SachJbp/Binary_Classifier_using_CNN
This is a CNN which I have fully trained from scratch , it identifies whether a photo is mine or not. The training set was quite small , but the test accuracy ended up being >90%
SachJbp/cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
SachJbp/Mathematical-Modeling-of-a-spinning-ball-in-cricket
An academic project to model the spinning cricket ball in different pitch and wind conditions
SachJbp/MovieReviewSentimentPredictor
This is a part of an ongoing academic project for Course 50:198:441 Cloud Computing. I have used Gaussian Naive Bayes algorithm to train a Movie Review sentiment classifier (positive or negative). I have used IMDB data set to train the model and deployed the model on Google Cloud Platform (GCP).I have also made a simple webapp using Flask to help use the model to predict sentiment of a review.
SachJbp/recommendation-engine
Deliverables for the Recommendation Engine project for CS562 (Big Data Algorithms). Detailed information about the assignment is available at https://github.com/geoffrey-young/RecommendationEngine
SachJbp/Similar-Image-Search-using-FastAI-and-LSH
This is a part of exploration of FastAI and LSH to enable fast similar image search. We use a Resnet-34 pretrained model and use itt get to embeddings for Caltech-101 dataset
SachJbp/DecoProApp
Application for demand prediction using Exponential weighted average. Flask webapp to demonstrate it.
SachJbp/Health_Fact_Classifier
Classifier trained on Health Fact dataset
SachJbp/Kafka-Classifier
SachJbp/origin
Remote Repository for set 2-Big data algorithms
SachJbp/sachjbp.github.io
SachJbp/streaming-hw