🔢 Scientific Computing

rishabhbhartiya/STATANIM: A Manim extension for animated statistical visualisations — distributions, regression, probability, inference and more.

🐙Open Source Code

github.com··Hacker News

Python 3.12 vs 3.13 JIT: 16% Faster or 2x Slower?

🔢SciPy Blog Discussion

tildalice.io·

Stop hand-tuning kernels: How Neuron Agentic Development accelerates AWS Trainium optimizations

🔥PyTorch Blog

aws.amazon.com·

Partitions over permutations

📐Linear Algebra Blog

johndcook.com··Hacker News

Optimal Seating on the Airbus A380

🔢SciPy Blog

tech.marksblogg.com··Hacker News

COGENT: Continuous Graph Emulators with Neural Ordinary Differential Equations for Long-Term Physical Forecasting

📐Semidefinite Programming Academic

arxiv.org·

Ultra fast cross-platform multiple screenshots module in pure Python

🔢SciPy Reference

python-mss.readthedocs.io··Hacker News

Training an LLM in Swift, Part 2: macOS built-in frameworks

📐Linear Algebra Blog

cocoawithlove.com··Hacker News

Jacques Hadamard (1865 – 1963)

📐Math

grokipedia.com··Hacker News

From inverse problems to neural operators: prediction, mechanism, and generalization of data-driven models

🧠Machine Learning Academic

arxiv.org·

fastai: style

📡Information Theory Reference

docs.fast.ai··Hacker News

It\^o maps for any-step SDEs

🎲Stochastic Processes Academic

arxiv.org·

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

🧠Machine Learning Code

github.com··Hacker News

Conformal Prediction for Neural Operators: Distribution-Free Uncertainty Quantification in Physics Simulation

🔥PyTorch Academic

arxiv.org·

Less-relevant results

Claude Mythos Glasswing: Why AI Vuln Discovery Terrifies Me

🧠LLM Blog Discussion

tildalice.io·

Optimal Illumination via Joint Movement and Phase Optimization for Movable Antenna-RIS Configuration

📶Communications Academic

arxiv.org·

A Constrained Natural-Language Interface for Variational Multi-Physics Finite Element Simulations in FEniCS

✍️Prompt Engineering Academic

arxiv.org·

princezuda/-RequiemGPT-: Fully open source and open weights built and trained by fable five with one prompt. An experience in how AI actually works

🤖AI Code

github.com··Hacker News

Data-driven discovery of governing differential equations across physical systems

Symbolica: Computer Algebra Library

rishabhbhartiya/STATANIM: A Manim extension for animated statistical visualisations — distributions, regression, probability, inference and more.

Python 3.12 vs 3.13 JIT: 16% Faster or 2x Slower?

Stop hand-tuning kernels: How Neuron Agentic Development accelerates AWS Trainium optimizations

Partitions over permutations

Optimal Seating on the Airbus A380

COGENT: Continuous Graph Emulators with Neural Ordinary Differential Equations for Long-Term Physical Forecasting

Ultra fast cross-platform multiple screenshots module in pure Python

Training an LLM in Swift, Part 2: macOS built-in frameworks

Jacques Hadamard (1865 – 1963)

From inverse problems to neural operators: prediction, mechanism, and generalization of data-driven models

fastai: style

It\^o maps for any-step SDEs

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

Conformal Prediction for Neural Operators: Distribution-Free Uncertainty Quantification in Physics Simulation

Claude Mythos Glasswing: Why AI Vuln Discovery Terrifies Me

Optimal Illumination via Joint Movement and Phase Optimization for Movable Antenna-RIS Configuration

A Constrained Natural-Language Interface for Variational Multi-Physics Finite Element Simulations in FEniCS

princezuda/-RequiemGPT-: Fully open source and open weights built and trained by fable five with one prompt. An experience in how AI actually works