Name: Amirhossein Abaskohi
Type: User
Company: University of British Columbia
Bio: Amirhossein Abaskohi |
MSc Computer Science,
Vancouver Campus,
Vancouver,
British Columbia,
Canada |
امیرحسین عباسکوهی
Twitter: AmirAbaskohi
Location: Vancouver, BC, Canada
Blog: https://amirabaskohi.github.io
Amirhossein Abaskohi's Projects
An implementation of A* algorithm using python
This repository contains for ACM Summer School 2021's AI course's materials at the University of Tehran.
I have uploaded my advanced programming course project from my BS.c at the University of Tehran to this repository.
This repository contains the Advanced Computer Vision with Tensorflow course projects.
This is an excercise for checking improvement of a hypothesis in Octave.
This is my personal website.
This is a blockchain in GO language.
This is ex8 of Andrew Ng Machine Learning course in Coursera which include recommmendation systems and anomaly detection.
I have uploaded my artificial intelligence course's projects from my BS.c at the University of Tehran to this repository.
Automatic Irrigation system using Arduino UNO.
Preschool evaluation is crucial because it gives teachers and parents influential knowledge about children's growth and development. The COVID-19 pandemic has highlighted the necessity of online assessment for preschool children. One of the areas that should be tested is their ability to speak. Employing an Automatic Speech Recognition (ASR) system would not help since they are pre-trained on voices that differ from children's in terms of frequency and amplitude. Because most of these are pre-trained with data in a specific range of amplitude, their objectives do not make them ready for voices in different amplitudes. To overcome this issue, we added a new objective to the masking objective of the Wav2Vec 2.0 model called Random Frequency Pitch (RFP). In addition, we used our newly introduced dataset to fine-tune our model for Meaningless Words (MW) and Rapid Automatic Naming (RAN) tests. Using masking in concatenation with RFP outperforms the masking objective of Wav2Vec 2.0 by reaching a Word Error Rate (WER) of 1.35. Our new approach reaches a WER of 6.45 on the Persian section of the CommonVoice dataset. Furthermore, our novel methodology produces positive outcomes in zero- and few-shot scenarios.
A curated list of awesome READMEs
Benchmarking ChatGPT for Persian: A Preliminary Study
Beyond Words: A Multimodal Exploration of Persuasion in Memes
Export/convert Box Notes to HTML, Markdown or Plain Text.
This project is a gender detection model based on applications each user has used. The data used for models is for Cafe Bazar, an Iranian android app store.
This is an app which uses different algorithm for having a good proifit in Castrol Oil.
A modern, C++-native, header-only, test framework for unit-tests, TDD and BDD - using C++11, C++14, C++17 and later (or C++03 on the Catch1.x branch)
This is a big data project which is based on the Catch The Pink Flamingo mobile game.
A chatroom server using socket library of python3
This is a graphical implementation of the Checkers game using the MiniMax algorithm using python.
I have uploaded my computer network course projects from my BS.c at the University of Tehran to this repository.
This repository contains my BS.c Computer Archtecure course's projects at the University of Tehran.