Nadirjohar24

Abnormality-detection-using-spatiotemporal-encoders

The Video Anomaly Detection project, leveraging Spatiotemporal Autoencoders (STAE) and integrated with Flask for user-friendly interaction, stands as a formidable solution in automating security surveillance. One of the pivotal enhancements introduced is the logging of timestamps corresponding to detected abnormalities during video analysis.

bert-QA

mlproject

mlprojects_krishnaik

Nadirjohar24

Config files for my GitHub profile.

nawad

openai-quickstart-python

Python example app from the OpenAI API quickstart tutorial

question_answer_nadir

working uses squad data set for training bert model and allows for to generate answer for the question asked based on the pdf uploaded

SENTIMENT_ANALYSIS_RNN

sentiment analysis using rnn on yelp data for evaluation at redpositive service

SVM-Kernels

Nadirjohar24/Abnormality-detection-using-spatiotemporal-encoders

The Video Anomaly Detection project, leveraging Spatiotemporal Autoencoders (STAE) and integrated with Flask for user-friendly interaction, stands as a formidable solution in automating security surveillance. One of the pivotal enhancements introduced is the logging of timestamps corresponding to detected abnormalities during video analysis.

Nadirjohar24/bert-QA

Nadirjohar24/mlproject

Nadirjohar24/mlprojects_krishnaik

Nadirjohar24/Nadirjohar24

Config files for my GitHub profile.

Nadirjohar24/nawad

Nadirjohar24/openai-quickstart-python

Python example app from the OpenAI API quickstart tutorial

Nadirjohar24/question_answer_nadir

working uses squad data set for training bert model and allows for to generate answer for the question asked based on the pdf uploaded

Nadirjohar24/SENTIMENT_ANALYSIS_RNN

sentiment analysis using rnn on yelp data for evaluation at redpositive service

Nadirjohar24/SVM-Kernels

Nadirjohar24/Trnasformer-Bert