- https://github.com/TeleViaBox/pyiqa-SE2C3-public
- https://github.com/TeleViaBox/vid-stream-quality-public
- https://github.com/TeleViaBox/society-llm-opinions-public
- https://github.com/TeleViaBox/RealEstateProject_beautified_beau_new_upload
- Lang: c, c++, matlab, python, java
- Language skills: Object-oriented programming, Large system's scalability design
- Hardware related: signal processing, image processing, encoding/decoding computation
- Software related: vmware, postman
- light-weight search engine deployed on GCP (Google Compute Engine), with LLM chatting features, by preprocessing novels from Project Gutenberg using RAG (retrieval augmented generation). Link
- sepolia blockchain (ethereum based testnet) deployment of smart contract for real estate trading, and full-stack website (using flask app) deployed on GCP. Link
- https://github.com/TeleViaBox/vidtrans/
- https://github.com/TeleViaBox/vqaeffic/blob/main/README.md
- "not yet for public": https://github.com/TeleViaBox/leos-vehicle-network
- Machine learning toolbox for information-space search task, vector database, loss functions.
- dashboard webiste for easy-to-use data import and visualization
- travel spot search and visualization project
- Page rank and reverse-connected network analysis
- Tubluar machine and system-stability controller hyperparameter optimization, with heuristic approaches
- "Course" Operating System experiments Link
- "Course" Computer Security experiments
- "Course" Computer Networks experiments
- "Course" Algorithm Analysis and Design
- Hard problems solving Link
- My understanding in computer science Link
- JAVA: building a multimedia 2d windows desktop application
- data science EDA with my school's course list
- My understanding in IQA (Image quality assessment) and VQA (Video quality assessment) Link
- My understanding in Optimization theory design Link
- My understanding in Computer Network
- Pac-man design
- Whats-app design
- topics: distributed system, network system, operating system
- Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions : https://www.youtube.com/watch?v=150ceiAVDCY
- Breaking the Sample Size Barrier in Reinforcement Learning via Model-Based Algorithms: https://www.youtube.com/watch?v=7PYfv9KRZfQ
- Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport | Alex Tong : https://www.youtube.com/watch?v=UhDtH7Ia9Ag
- Application-oriented purpose: I want to create a code for cancer image recognition.
- Integrate and utilize two large repositories: [Case One: [Case Two:
- High difficulty replication is also possible.
- My preparation status update for Leetcode
- git commit good-practice (Semantic Commit Messages): https://gist.github.com/joshbuchea/6f47e86d2510bce28f8e7f42ae84c716