Anubhav Sachan's Projects
The bingscraper is python3 package which extracts the text and images content on search engine 'bing.com'
Databricksβ Dolly, a large language model trained on the Databricks Machine Learning Platform
Unsupervised Deep Domain Adaptation using Backpropagation
Exploited GoogleBERT embeddings on LIAR dataset for multi-class classification task of Fake news detection.
Pore-based Fingerprint Recognition System based on Deep Learning Architecture
This ML project employs one of the challenges of ICDAR on Kaggle.com to predict if a handwritten document has been produced by a male or female writer.
Test data for keras-retinanet.
A Deep Reinforcement Learning technique incorporating Actor Critic framework and hybrid value networks to improve the dialogue policy.
PWA for paperwork automation, designed in Hackathon, NIT Conclave and won the first prize.
NLP Project developed for Grand Finale (National Level, Software Edition) of Smart India Hackathon 2019 for ezDI.
Website for Spic Macay NIT Silchar Chapter
Supply Chain Management using DDPG Algorithm
Constructed a structured heterogeneous text corpus graph to transform text classification problem into a node classification problem. Created semantic rich features by using Text GCN and topic modeling based approach-LDA which are then fed into a novel classification model.
The WebSchaber (german for Web Scraper) is Python3 script which extracts the text and images content on search engine βbing.comβ.