- I'm currently a machine learning engineer.
- I hope to harness the power of data science, machine learning, and artificial intelligence, to bring positive impact to the world.
- I'm really excited about the developments in these fields and I believe that dabbling into them can greatly empower me to find solutions to the myraids of problems that we are facing today.
Connect with me at Linkedin!
| Master Categories | Descriptions | |
|---|---|---|
| A. | 🧠 Jansen's Original Projects | Original Works from Jansen. |
| B. | 🤝 Collaborative Projects | Team-based projects. |
| C. | 🔎 Exploration & Learning | Fresh Ideas, Test bedding, Tutorials, Courses. |
| D. | 📑 Reference Materials | Content Summaries, Code and Commands Cheatsheats, etc. |
| E. | 🧭 Forked Repos for Exploration | Repos I forked for exploration. |
| Project Name | Description | Status |
|---|---|---|
| IOU-based Layout Matching Algorithm | I created the IOU-based Layout Matching Algorithm as part of a 7 month computer vision project co-sponsored by AI Singapore (AISG) & Continental (our client). The concept of IOU (Intersection Over Union), forms the foundation of this custom algorithm. I was able to achieve layout matching accuracy of over 98% on our Client's dataset, which was comparable, if not better than that of the state-of-the-art ML algorithms (self-supervised learning algorithms). Due to the Research Collaboration Agreement (RCA) signed between AISG & Continental, I am not able to reproduce the work that was done and publish on GitHub. | Private |
| Project Name | Description | Status |
|---|---|---|
| Litter Dectection with YOLOv5 & TACO Dataset | This is a mini-project done during the final week of the deepskilling phase as part of the AI apprenticeship programme (AIAP), with the aim to improve AI Singapore's workflow and welfare. The object detection model is trained using the open-source YOLOv5 object detection model from Ultralytics, on a subset of the TACO dataset, which is an open image dataset of waste in the wild. | Public |
| Repo Name | Description | Status |
|---|---|---|
| test_bed_repo | Repo for quick and dirty test bedding of new ideas, new codes, anything useful and interesting, or anything i learnt off youtube, articles, ChatGPT, etc. Mainly notebooks will be used as it is great for visualisation and learning, but there is really no limits here. :) | Public |
| streamlit-datacamp | To explore streamlit via DataCamp's guide. | Public |
| learn-python | A quick & easy reference for basic python syntax & operations. (WORK IN PROGRESS. Will be shifted to the "Reference Materials Section" once reasonably completed) | Public |
| Repo Name | Description | Status |
|---|---|---|
| ai-practitioner-handbook | AI Practitioner Handbook https://aisingapore.github.io/ai-practitioner-handbook/ |
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| emoji-cheat-sheet | Cheat sheet for emoji, which is automatically generated from GitHub Emoji API and Unicode Full Emoji List. | - |
| Complete-Data-Structures-and-Algorithms | A comprehensive source of materials for data structures and algorithms. | - |
| From-0-to-Research-Scientist-resources-guide | This guide is designated to anybody with basic programming knowledge or a computer science background interested in becoming a Research Scientist with 🎯 on Deep Learning and NLP. | - |
| ng-video-lecture | A course by Andrej Karpathy on building neural networks, from scratch, in code: https://karpathy.ai/zero-to-hero.html |
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React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent