The middle brother in classifier development: What is RandAugment?
openaccess.thecvf.com·9h·
Discuss: DEV
📦Pseudobulk
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Best Digital Marketing Institute in Allahabad – Ndmit Prayagraj
ndmit.com·15h·
Discuss: Hacker News
🦆DuckDB
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A.I. Is Deciding Who You Are
nytimes.com·7h
🔢Embeddings
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Contribution-Guided Asymmetric Learning for Robust Multimodal Fusion under Imbalance and Noise
arxiv.org·2d
🗺️Manifold Learning
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Robust Control Synthesis via Persistent Homology-Guided Network Pruning
dev.to·4h·
Discuss: DEV
🗺️Network Visualization
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Yes, you should understand backprop (2016)
karpathy.medium.com·16h·
Discuss: Hacker News
⛰️Gradient Descent
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Semantic search with embeddings in PHP: a hands-on guide using Neuron AI and Ollama
ollama.com·23h·
Discuss: DEV
🔢Embeddings
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Semantic search with embeddings in JavaScript: a hands-on example using LangChain and Ollama
dev.to·4h·
Discuss: DEV
🔢Embeddings
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Your Transformer is Secretly an EOT Solver
elonlit.com·2d·
Discuss: Hacker News
⛰️Gradient Descent
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Automated Variant Analysis & Kinship Assignment via Multi-Modal Data Fusion
dev.to·15h·
Discuss: DEV
📄FASTQ
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From hours to seconds: AI tools to detect animal calls
seangoedecke.com·14h·
Discuss: Hacker News
📄FASTQ
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NeuraSnip A Local Semantic Image Search Engine
github.com·6h·
Discuss: r/opensource
🗺️UMAP
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Kimi Linear: An Expressive, Efficient Attention Architecture
arxiviq.substack.com·22h·
Discuss: Substack
⛰️Gradient Descent
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Text rendering and effects using GPU-computed distances
blog.pkh.me·1d·
Discuss: Lobsters, Hacker News
🗺️Network Visualization
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When Five Dumb AIs Beat One Smart AI: The Case for Multi-Agent Systems
ksramalakshmi.medium.com·11h·
Discuss: r/LocalLLaMA
🗺️UMAP
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Fitting KNN: From Overfit to Underfit and Everything Between
dev.to·3d·
Discuss: DEV
📈Linear Models
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Accelerated Degradation Prediction in XLPE Cable Insulation via Multi-Modal Deep Learning
dev.to·14h·
Discuss: DEV
⛰️Gradient Descent
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MLPrE -- A tool for preprocessing and exploratory data analysis prior to machine learning model construction
arxiv.org·3d
🔥ComplexHeatmap
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Localized Kernel Projection Outlyingness: A Two-Stage Approach for Multi-Modal Outlier Detection
arxiv.org·4d
🗺️UMAP
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Shape-Shifting AI: Making Models That Adapt to Data
dev.to·12h·
Discuss: DEV
🗺️Manifold Learning
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