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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

awesome-python-applications

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

awesome-pytorch-list

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

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

computer-vision

computer-vision-pytorch

credit_risk_end_to_end

data-visualization

data_science_projects

deploying-machine-learning-models

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

detecting-language-by-person-s-name

explainable_ai

free-data-science-books

Free resources for learning data science

infographics

machine-learning-practice

ml_projects

mowlanicabilla

mowlanicabilla.github.io

mowlanicabilla.github.io---depricated

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.

pgssp-iiith-notes

prediction-type-problem

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

predictive_maintainance_mlops_end_to_end