[D] Best (free) courses on neural networks
reddit.com·1d·
⛰️Gradient Descent
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Computational Complexity and Explanations in Physics
gilkalai.wordpress.com·5h
🔗Markov Chains
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Your Transformer is Secretly an EOT Solver
elonlit.com·2d·
Discuss: Hacker News
⛰️Gradient Descent
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Robust Control Synthesis via Persistent Homology-Guided Network Pruning
dev.to·9h·
Discuss: DEV
🗺️Network Visualization
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From hours to seconds: AI tools to detect animal calls
seangoedecke.com·20h·
Discuss: Hacker News
📄FASTQ
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LikePhys: Evaluating Intuitive Physics Understanding in Video Diffusion Modelsvia Likelihood Preference
dev.to·1d·
Discuss: DEV
📊Empirical Bayes
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Digesting AI Research: Day 4 — Graph Neural Networks
pub.towardsai.net·8h
🔢Embeddings
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Algorithmic Constraints on Multiverse Exploration via Compactified Topological Spaces
dev.to·1d·
Discuss: DEV
📐Computational Geometry
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MobileNetV3 Paper Walkthrough: The Tiny Giant Getting Even Smarter
towardsdatascience.com·14h
🗺️UMAP
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My First Multi-GPU Kernel: Writing All-to-All for AMD MI300X
gau-nernst.github.io·2h·
Discuss: Hacker News
🔲Zarr
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Hierarchical Physics-Embedded Learning for Spatiotemporal Dynamical Systems
arxiv.org·3d
⛰️Gradient Descent
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Decoding human safety perception with eye-tracking systems, street view images, and explainable AI
sciencedirect.com·1d
🗺️UMAP
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🎓 "Amodal Completion" in Computer Vision: Unveiling the Powe
dev.to·2d·
Discuss: DEV
🗺️UMAP
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ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for LargeVision-and-Language Models
dev.to·1d·
Discuss: DEV
🔢Embeddings
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Accelerated Degradation Prediction in XLPE Cable Insulation via Multi-Modal Deep Learning
dev.to·20h·
Discuss: DEV
⛰️Gradient Descent
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My ML Learning Journey: From Confusion to Building a Working Model
kaggle.com·2d·
Discuss: DEV
⛰️Gradient Descent
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Automated High-Throughput Mutational Burden Assessment & Stratification via Spectral Graph Convolutional Networks
dev.to·2d·
Discuss: DEV
🔥ComplexHeatmap
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Automatic network structure discovery of physics informed neural networks via knowledge distillation
nature.com·5d
⛰️Gradient Descent
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Fourier Neural Operators for Two-Phase, 2D Mold-Filling Problems Related to Metal Casting
arxiv.org·3d
📐Computational Geometry
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