[Guardians] It is with deep sadness that we share the passing of John Adams. Joh…
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Predicting Dairy Calf Body Weight from Depth Images Using Deep Learning (YOLOv8)…
Monitoring calf body weight (BW) before weaning is essential for assessing growth, feed efficiency, health, and weaning readiness. However, labor, time, and facility constraints limit BW collection. Additionally, Holstein calf coat patterns complicat...
awi-response/darts-nextgen
Panarctic Database of Active Layer Detachment Slides and Retrogressive Thaw Slumps from Deep Learning on High Resolution Satellite Imagery. (⭐ 7)
TuanNguyenSKKU/concrete-slump-test
Deep Learning & Stereo Vision (⭐ 1)
whrc/RTSmapping_v2
Mapping retrogressive thaw slumps using deep learning (⭐ 2)
Noisy Student Training using Body Language Dataset Improves Facial Expression Re…
Facial expression recognition from videos in the wild is a challenging task due to the lack of abundant labelled training data. Large DNN (deep neural network) architectures and ensemble methods have resulted in better performance, but soon reach sat...
Multi-Task Image-Based Dietary Assessment for Food Recognition and Portion Size…
Deep learning based methods have achieved impressive results in many applications for image-based diet assessment such as food classification and food portion size estimation. However, existing methods only focus on one task at a time, making it diff...
Roblox Creator Experience Survey 2024: Share your feedback!
Apr 23, 2025 · Hello Creators! We are actively working to gain a deeper understanding of our creator community. Because of this, weâre asking you to help fill out our Roblox Creator Experience Survey. â¦
Using Gradient to Boost the Generalization Performance of Deep Learning Models f…
Nowadays, Computational Fluid Dynamics (CFD) is a fundamental tool for industrial design. However, the computational cost of doing such simulations is expensive and can be detrimental for real-world use cases where many simulations are necessary, suc...
An Interpretable Deep Learning Approach for Morphological Script Type Analysis
Defining script types and establishing classification criteria for medieval handwriting is a central aspect of palaeographical analysis. However, existing typologies often encounter methodological challenges, such as descriptive limitations and subje...
DD: Gamestop Price Analysis -- still a Deep Fucking Value under $550
**TLDR;** Gamestop is undervalued considering its online sales numbers and ecommerce focus - analysts haven’t caught up yet from Q4 Earning report; add on top of that all the hiring of Amazon execs ...
Perspectives for observing hot massive stars with XMM-Newton in the years 2017 -…
XMM-Newton has deeply changed our picture of X-ray emission of hot, massive stars. High-resolution X-ray spectroscopy as well as monitoring of these objects helped us gain a deeper insight into the physics of single massive stars with or without magn...
Dr. Pillai - Pillai Center Academy
Dr. Pillai is a Spiritual Scientist, academy Scholar, Philanthropist, International Speaker and World Thought Leader who is deeply committed to helping people across the globe to realize their full …
Kate Middleton, The Princess of Wales - HELLO! Magazine
1 day ago · Explore the latest news, photos, and fashion stories of The Princess of Wales, Kate Middleton. Dive deep into her royal journey with Prince William and their three children with our …
afriesen/ftprop
Feasible target propagation code for the paper "Deep Learning as a Mixed Convex-Combinatorial Optimization Problem" by Friesen & Domingos (2018). (⭐ 28)
#SpeakerBytes: At #TechDeveloperConfluence 2025, Vybhava ...
Aug 13, 2025 · #SpeakerBytes: At #TechDeveloperConfluence 2025, Vybhava Srinivasan, Managing Director of Availity India, shared his excitement about the future of India’s Deep Tech ecosystem, …
Deepika Pilli
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ExpectozJJ/MT-TopLap
Multi-Task Topological Laplacian deep learning model that predicts binding free energy changes upon mutation (⭐ 13)
Built a neural network from scratch and it taught me more than 10 tutorials comb…
To demystify neural networks, I built one from scratch without relying on frameworks. * Manually coding matrix multiplications and backpropagation deepened my understanding. * Observing the network l...
Convolutional neural network - Wikipedia
that learns features via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different