philipp
@phippli
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Joined May 2014
Excited to introduce HypLL, our brand-new hyperbolic learning library developed together with @phippli and @PascalMettes! 1/4
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Two years ago we released our open source framework for self supervised learning https://t.co/ppNFaaXIDB. Today it's used by leading tech companies and research institutions all over the world, reached almost 2k GitHub stars and has been installed over 100k times.
github.com
A python library for self-supervised learning on images. - lightly-ai/lightly
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We added support for the Masked Siamese Network (MSN) to @lightly. MSN learns image representations by comparing cluster assignments of masked and unmasked image views. Great work by @mcaron31 @p_bojanowski @imisra_ @armandjoulin
https://t.co/xZq8AyadYl
https://t.co/ppNFaaXIDB
github.com
A python library for self-supervised learning on images. - lightly-ai/lightly
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Finally published @MSSEonline 👇 We developed and evaluated a deep learning approach to automatically segment anatomical cross-sectional area in panoramic ultrasound images of lower limb muscles. 🙏 @ritpau @MVFranchi @FabioSarto3 @NeilJCronin84 @phippli
https://t.co/uNkqoDlgtK
journals.lww.com
(VL), gastrocnemius medialis (GM) and lateralis (GL) muscles. Methods We trained three muscle-specific convolutional neural networks (CNN) using 1772 ultrasound images from 153 participants (age =...
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A friend just shared this with me. A great example for how deep learning models struggle with out-of-distribution data. I wonder how many carriages the model has seen during training 😅
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Open access code & GUI ✅ + Instructional video 📹: https://t.co/yZd0eQKPMH 👌🏼⤵️
We present DeepACSA! 😊 -> fully automated segmentation of lower limb muscle ACSA in panoramic ultrasound images. https://t.co/ukLCHqqEuw The code includes a GUI is openly available. Huge thanks to @MVFranchi @OliverFaude @NeilJCronin84 @FabioSarto3 @phippli @manarici001
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Open source, @PyTorch, @PyTorchLightnin, self-supervision, and models from @facebookai and other labs, these are a few of my favorite things... Good luck Lightly!
github.com
A python library for self-supervised learning on images. - lightly-ai/lightly
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Collaboration with @Arm: Embedded covid mask detection on an Arm Cortex-M7 processor using @PyTorch. From self-supervised pre-training to transfer learning, conversion to TensorFlow Lite, quantization, and running it on the device. All summarized here: https://t.co/5RS3QyRZDY
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Thanks so much for sharing my blog post!
"Which Optimizer should I use for my Machine Learning Project?" https://t.co/ea3d92diud That's a neat quick reference table (personally, I am lazy and usually just stick to ADAM with default settings, works pretty well out of the box most of the time):
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