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tinchung41 Goto Github PK

followers: 0.0 following: 8.0 repos: 36.0 gists: 1.0

Name: TinChung41

Type: User

Company: None Read the name 👍

Bio: Hi, not sure where or how this will display but I say I a proactive learn and opportunities seeker. Want to join real open source projets that welcome newbie

Location: Viet Nam, HCM city

Hi there 👋

📌 About Me:

I'm a data science major at International University(IU) - VNU HCMC, and an aspring data egnineer and machine learning engineer to build complex product in this AI era.

I speak fluent English and native Vietnamese

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Programming Language and Tool I can use

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Currently(May 2023) focused on learning Deep Learning and Computer Vison to make a Image, Computer Vision, Pattern Recognition

TinChung41's Projects

-image-classification-personal-project icon -image-classification-personal-project

This project is a copy version of Kenjee video and mainly learn how to put a project together and classification This is a more advanced project, but a good way to learn about deep learning techniques. The idea is to use a dataset of labeled images, color, texture, and shape of the images, to build a model .

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-datascience icon awesome-datascience

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

excercise-oop-github icon excercise-oop-github

https://shareprogramming.net/tong-hop-bai-tap-lap-trinh-huong-doi-tuong-trong-java/#Bai_1

jointidsf icon jointidsf

BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)

llm-zoomcamp icon llm-zoomcamp

LLM Zoomcamp - a free online course about building a Q&A system

mamba_small_bench icon mamba_small_bench

Trying out the Mamba architecture on small examples (cifar-10, shakespeare char level etc.)

plantuml icon plantuml

Generate diagrams from textual description

semantic-communication-systems icon semantic-communication-systems

pytorch implementation of "Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data"

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