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Big Data, Small Genes: Handling Terabytes of DNA Information
medium.com·20h·
Discuss: DEV
🧬Genomics
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Semantic search with embeddings in PHP: a hands-on guide using Neuron AI and Ollama
dev.to·17h·
Discuss: DEV
🔢Embeddings
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How to run R-style linear regressions in Python the easy way
howtogeek.com·1d
📈Linear Models
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Hidden network preserved in Slide-tags data allows reference-free spatial reconstruction
nature.com·2d
🗺️Spatial Transcriptomics
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Hierarchical Chromosome Segmentation via Adaptive Spectral Graph Convolutional Networks
dev.to·10h·
Discuss: DEV
🗺️UMAP
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Building a Resilient API Key Pool System with Health Checks and Multi-Tier Degradation
github.com·5h·
Discuss: DEV
🔲Zarr
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This is a description of a test for markov chain program in a book I'm reading...
reddit.com·6h·
🔗Markov Chains
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From hours to seconds: AI tools to detect animal calls
seangoedecke.com·8h·
Discuss: Hacker News
📄FASTQ
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Weak-To-Strong Generalization
lesswrong.com·12h
📊Empirical Bayes
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Yes, you should understand backprop (2016)
karpathy.medium.com·10h·
Discuss: Hacker News
⛰️Gradient Descent
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Coalescing single-cell genomes and transcriptomes to decode breast cancer progression
cell.com·3d
🧬Genomics
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Kimi Linear: An Expressive, Efficient Attention Architecture
arxiviq.substack.com·16h·
Discuss: Substack
⛰️Gradient Descent
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Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.to·8h·
Discuss: DEV
🔢Embeddings
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Our newest model: Chandra (OCR)
datalab.to·6h·
Discuss: Hacker News
🗺️UMAP
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Neural active manifolds: nonlinear dimensionality reduction for uncertainty quantification
arxiv.org·2d
🗺️Manifold Learning
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The Pearson Correlation Coefficient, Explained Simply
towardsdatascience.com·23h
📈Linear Models
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Semantic search with embeddings in PHP: a hands-on guide using Neuron AI and Ollama
ollama.com·17h·
Discuss: DEV
🔢Embeddings
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Deep Learning Part — 9 : Optimizers are what you need.
pub.towardsai.net·2d
⛰️Gradient Descent
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