Mobius-strip

advanced-nlp

Implementation of the latest developments in NLP ranging from ensemble learning to BERT. Pipelines are in Tensorflow and Pytorch

amt

Deep-learning-lab

Collection of all codes and detailed reports for labs and exams of Deep Learning course

Drowsiness-Detection-app

This is Website which alerts you if you're getting drowsy. It utilizes Haar cascade and CNN models to asses if you're drowsy or not. It can be helpful if you're driving or in a zoom meeting. The web App is deployed with the help of Streamlit

Genotype-phenotype-association-using-NLP-

Relation extraction between genotype and phenotype using named entity recognition and co-occurance

Github-recommendation-model

law_ner

A Fine Tuned spaCY's NER Model for Custom Named Entity Recognition of Legal entities

ML-DL-implementation

An implementation of ML and DL algorithms from scratch in python using nothing but NumPy and Matplotlib.

Multivariate-Time-series-forcasting

The aim was to Use LSTM to predict the global active power while keeping all other important features and predict it for the testing days by training the model

Transliteration-English-to-Hindi-

The Main goal is to train a seq2seq model which takes as input the romanized string and produces the corresponding word in native script.

Mobius-strip/law_ner

A Fine Tuned spaCY's NER Model for Custom Named Entity Recognition of Legal entities

Mobius-strip/Deep-learning-lab

Collection of all codes and detailed reports for labs and exams of Deep Learning course

Mobius-strip/Drowsiness-Detection-app

This is Website which alerts you if you're getting drowsy. It utilizes Haar cascade and CNN models to asses if you're drowsy or not. It can be helpful if you're driving or in a zoom meeting. The web App is deployed with the help of Streamlit

Mobius-strip/Github-recommendation-model

Mobius-strip/ML-DL-implementation

An implementation of ML and DL algorithms from scratch in python using nothing but NumPy and Matplotlib.

Mobius-strip/Transliteration-English-to-Hindi-

The Main goal is to train a seq2seq model which takes as input the romanized string and produces the corresponding word in native script.

Mobius-strip/advanced-nlp

Implementation of the latest developments in NLP ranging from ensemble learning to BERT. Pipelines are in Tensorflow and Pytorch

Mobius-strip/amt

Mobius-strip/bio-ner

Biomedical Named Entity Recognition and Normalization of Diseases, Chemicals and Genenetic entity classes through the use of state-of-the-art models.

Mobius-strip/Genotype-phenotype-association-using-NLP-

Relation extraction between genotype and phenotype using named entity recognition and co-occurance

Mobius-strip/LeGloVe

Legal domain-specific word vectors, trained with GloVe on a corpus of legal documents.

Mobius-strip/MASHQA

Mobius-strip/mediumposts

Mobius-strip/Multi-BioNER

Cross-type Biomedical Named Entity Recognition with Deep Multi-task Learning (Bioinformatics'19)

Mobius-strip/Multivariate-Time-series-forcasting

The aim was to Use LSTM to predict the global active power while keeping all other important features and predict it for the testing days by training the model

Mobius-strip/Bitcoin_price_prediction_Fraudulent_transactions

Mobius-strip/DL-Optimization-using-TensorBoard-

The aim was to optimize the GPU usage after the profiling of the model and to figure out the minimum change in the architecture that would lead to a gain in performance and decrease training time on CIFAR10 dataset on CNN architechture

Mobius-strip/needleman-wunsch

Mobius-strip/Research-Paper-Title-Generation-and-Tag-Classification

A transformer based deep learning approach to title generation of research papers and paper tags classification.

Mobius-strip/Satyendra-Sharma-Portfolio

Mobius-strip/Telescope-webpage.github.io

A Webpage made for practicing HTML and CSS