rafaelpadilla
Computer Vision, Machine Learning and Anomaly Detection
Funding Links: https://github.com/sponsors/rafaelpadilla
- Name: Rafael Padilla
- Kind: user
- Followers: 331
- Following: 29
- Total stars: 6283
- Repositories count: 45
- Created at: 2022-11-11T03:41:45.942Z
- Updated at: 2025-06-29T12:59:16.409Z
- Last synced at: 2025-06-29T12:59:16.409Z
GitHub Sponsors Profile
I'm an electrical engineer π₯
15 years of experience in R&D industry
Ph.D. π in Computer Vision
postdoctoral research in Anomaly Detection in Time Series (Signal Processing + ML) π
former Nokia/Microsoft developer and researcher
former HuggingFace π€ ML engineer
learning to surf π
trying to become a better human π·
passionate about:
life π
π΄
computer vision π» π
signal processing π‘ πΆ
currently working on tools to simplify lives of researchers of different areas
being sponsored will allow me to dedicate more time to improve my current tools and develop better ones to share with the community π π π π
If my projects have contributed to your work or research in any way, please consider showing your support. Become a sponsor and help me focus on creating even better solutions. π
- Current Sponsors: 2
- Past Sponsors: 0
- Total Sponsors: 2
- Minimum Sponsorship: $1.00
Featured Works
rafaelpadilla/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
Language: Python - Stars: 5062rafaelpadilla/review_object_detection_metrics
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding bβ¦
Language: Python - Stars: 1126rafaelpadilla/TCF-LMO
TCF-LMO is a network made with dedicated modules to process videos and identify the presence of anomalies in frames. It is composed by: dissimilarity model; a differentiable morphology module; tempβ¦
Language: Python - Stars: 12