Vectorizing for Fun and Performance
ibm.com·2d·
Discuss: Hacker News
🔀SIMD Programming
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Curly Flow Matching for Learning Non-gradient Field Dynamics
arxiv.org·18h
🔍ML Language
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How to Approximate Curves Using Bézier and Euler Spiral Segments
hackernoon.com·2d
🧮Combinator Calculus
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Rasterizer Project - Part 2: Lines and Optimization (Excited reaction)
dev.to·8h·
Discuss: DEV
💾Register Pressure
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Instant4D: 4D Gaussian Splatting in Minutes
paperium.net·1d·
Discuss: DEV
🌊Loop Invariant Motion
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Performance evaluation of image convolution with gradient filters in OpenCL
milania.de·2d·
Discuss: Hacker News
🎯CPU Dispatch
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Your Transformer is Secretly an EOT Solver
elonlit.com·17h·
Discuss: Hacker News
🪜Recursive Descent
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2D movement faster when walking on the diagonals of the Planet
reddit.com·1d·
Discuss: r/godot
🌊Loop Invariant Motion
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Hidden network preserved in Slide-tags data allows reference-free spatial reconstruction
nature.com·22h
🗺️Region Inference
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A hitchhiker's guide to CUDA programming
seanzhang.me·1d·
Discuss: Hacker News
🔀SIMD Programming
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Gradient GPS: Turbocharge Your Diffusion Models with Targeted Tuning
dev.to·3h·
Discuss: DEV
🪜Recursive Descent
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Gröbner Bases Explained: From Abstract Algebra to Real-World Optimization
news.ycombinator.com·2d·
Discuss: Hacker News
🧩Constraint Solvers
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My ML Learning Journey: From Confusion to Building a Working Model
kaggle.com·16h·
Discuss: DEV
🌱Minimal ML
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Deep Learning Part — 9 : Optimizers are what you need.
pub.towardsai.net·15h
🪜Recursive Descent
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A Hybrid Reconstruction Framework for Efficient High-Order Shock-Capturing on Unstructured Meshes
arxiv.org·18h
🌪️V8 TurboFan
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Who needs Graphviz when you can build it yourself?
spidermonkey.dev·3d·
📊Graph Compilers
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Unpacking the CRINK Axis with Data
youtube.com·2d·
Discuss: r/5_9_14
📈Earley Parsing
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IFS Fractal codec
codecs.multimedia.cx·10h
📦Compression Algorithms
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