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bisoisk's Projects

absadatasets icon absadatasets

Public & Community-shared datasets for Aspect-based sentiment analysis and Text Classification

academic_advisory icon academic_advisory

Collected opinions and advice for academic programs focused on data science skills.

angular-typescript icon angular-typescript

Starter files and support materials for the Pluralsight course: "Angular with TypeScript"

angular2-webpack-starter icon angular2-webpack-starter

:tada: An Angular Starter kit featuring Angular 2 and Angular 4 (Router, Http, Forms, Services, Tests, E2E, Dev/Prod, HMR, Async/Lazy Routes, AoT via ngc), Karma, Protractor, Jasmine, Istanbul, TypeScript 2, TsLint, Codelyzer, Hot Module Replacement, @types, and Webpack 2 by @AngularClass

artificial-intelligence-deep-learning-machine-learning-tutorials icon artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

atsc_prompts icon atsc_prompts

Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"

awesome-cpp icon awesome-cpp

A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-iot icon awesome-iot

Awesome IoT. A collaborative list of great resources about IoT Framework, Library, OS, Platform

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

azure-content icon azure-content

Repository containing the Articles on azure.microsoft.com Documentation Center

bankcsvtoqif icon bankcsvtoqif

Converts csv files from a bank to qif and replaces descriptions and target accounts according to predefined customizable rules along the way. Intended to work as a tool for gnucash.

bert_for_longer_texts icon bert_for_longer_texts

BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.

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