Abhigyan Raman's repositories
Fault-Diagnosis
Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks
learnopencv
Learn OpenCV : C++ and Python Examples
Apache-License
How to add Apache license to a project
CRAFT-pytorch
Official implementation of Character Region Awareness for Text Detection (CRAFT)
DeepSpeech
A TensorFlow implementation of Baidu's DeepSpeech architecture
HiddenMarkovModel_Pytorch
Pytorch: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)
hosting-ml-as-microservice
Hosting your own Machine Learning Model as a Microservice
OpenSeq2Seq
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Scanned-document-classification-using-deep-learning
BFSI sectors deal with lots of unstructured scanned documents which are archived in document management systems for further use.For example in Insurance sector, when a policy goes for underwriting, underwriters attached several raw notes with the policy, Insureds also attach various kind of scanned documents like identity card, bank statement, letters etc. In later parts of the policy life cycle if claims are made on a policy, releted scanned documents also archeived.Now it becomes a tedious job to identify a particular document from this vast repository. The goal of this case study is to develop a deep learning based solution which can automatically classify scanned documents.