MowlanicaBilla

-

AI-ML_ChatBot

All_about_LLM_projects

awesome

:sunglasses: Curated list of awesome lists

awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-docker

:whale: A curated list of Docker resources and projects

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

Computer-Vision

Prediction-Type-problem

This repository has all the Data Science I have practiced and done.

MowlanicaBilla/-

MowlanicaBilla/AI-ML_ChatBot

MowlanicaBilla/All_about_LLM_projects

MowlanicaBilla/awesome-docker

:whale: A curated list of Docker resources and projects

MowlanicaBilla/awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

MowlanicaBilla/Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

MowlanicaBilla/Computer-Vision-PyTorch

MowlanicaBilla/Credit_Risk_End_to_End

MowlanicaBilla/Data-Visualization

MowlanicaBilla/Data_Science_Projects

MowlanicaBilla/deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

MowlanicaBilla/Detecting-Language-by-Person-s-name

MowlanicaBilla/Explainable_AI

MowlanicaBilla/Machine-Learning-Practice

MowlanicaBilla/ML_projects

MowlanicaBilla/MowlanicaBilla

MowlanicaBilla/mowlanicabilla.github.io

MowlanicaBilla/mowlanicabilla.github.io---depricated

MowlanicaBilla/OpenKP

Automatically extracting keyphrases that are salient to the document meanings is an essential step to semantic document understanding. An effective keyphrase extraction (KPE) system can benefit a wide range of natural language processing and information retrieval tasks. Recent neural methods formulate the task as a document-to-keyphrase sequence-to-sequence task. These seq2seq learning models have shown promising results compared to previous KPE systems The recent progress in neural KPE is mostly observed in documents originating from the scientific domain. In real-world scenarios, most potential applications of KPE deal with diverse documents originating from sparse sources. These documents are unlikely to include the structure, prose and be as well written as scientific papers. They often include a much diverse document structure and reside in various domains whose contents target much wider audiences than scientists. To encourage the research community to develop a powerful neural model with key phrase extraction on open domains we have created OpenKP: a dataset of over 150,000 documents with the most relevant keyphrases generated by expert annotation.

MowlanicaBilla/PGSSP-IIITH-Notes

MowlanicaBilla/Predictive_Maintainance_MLOps_End_to_End

MowlanicaBilla/Python-Games

MowlanicaBilla/Reverse-Dictionary

MowlanicaBilla/SDS_Lab1

MowlanicaBilla/SERC_Assignment_PartB

MowlanicaBilla/SMAI

SMAI Monsoon 2019 Assignments

MowlanicaBilla/Synthetic-data-generation-using-Langchain

MowlanicaBilla/test_website

MowlanicaBilla/TextSummarization

MowlanicaBilla/Video-Classification