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rafaelpadilla

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Computer Vision, Machine Learning and Anomaly Detection

Funding Links: https://github.com/sponsors/rafaelpadilla

GitHub Sponsors Profile

I'm an electrical engineer πŸ’₯

15 years of experience in R&D industry
Ph.D. πŸŽ“ in Computer Vision
postdoctoral research in Anomaly Detection in Time Series (Signal Processing + ML) πŸ“ˆ
former Nokia/Microsoft developer and researcher
former HuggingFace πŸ€— ML engineer
learning to surf πŸ„
trying to become a better human πŸ‘·
passionate about:

life πŸŒ… 🌴
computer vision πŸ’» πŸ‘€
signal processing πŸ“‘ πŸ“Ά

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 πŸŽ‰ 🎊 🎈 🎁

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. πŸ˜ƒ

Featured Works

rafaelpadilla/Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms.

Language: Python - Stars: 5062
rafaelpadilla/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 b…

Language: Python - Stars: 1126
rafaelpadilla/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; temp…

Language: Python - Stars: 12