The Curious Engineer

All blogs / Python

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christopherkrapu.com/blog

PythonMathAI / ML

Posts
36 from 18 Feb 2020 to 1 Aug 2026
Posting
monthly (14 in the last year)
Kind
personal blog
Feed
https://christopherkrapu.com/feed.xml

2026 11

  1. A few simple tricks for building chatbots
  2. A few simple tricks for building chatbots
  3. 2026
  4. Poverty Bayes: fitting million-parameter models for pennies with serverless MCMC
  5. Poverty Bayes: fitting million-parameter models for pennies with serverless MCMC
  6. Don’t know where your data is from? Bayesian modeling for unknown coordinates
  7. Don't know where your data is from? Bayesian modeling for unknown coordinates
  8. Rolling your own serverless OCR in 40 lines of code
  9. Rolling your own serverless OCR in 40 lines of code
  10. How I accidentally became a power AI user in big tech
  11. How I accidentally became a power AI user in big tech

2025 12

  1. Using Antigravity for Statistical Physics in JS
  2. Using Antigravity for Statistical Physics in JS
  3. 2025
  4. A tutorial on kinematics and optimization using NVIDIA Warp
  5. What I learned from making 200 different LLMs flip coins
  6. A tutorial on kinematics and optimization using NVIDIA Warp
  7. What I learned from making 200 different LLMs flip coins
  8. Simulating planetary waves
  9. Simulating planetary waves
  10. Modeling data with correlated errors across a directed graph
  11. Modeling data with correlated errors across a directed graph
  12. To my junior collaborators, this is how I want you to write your research code

2024 2

  1. Solving climate change by abusing thermodynamic scaling laws
  2. 2024

2022 3

  1. Modeling temporal data with an unknown number of changepoints
  2. 2022
  3. Distributed zonal averages for fast geospatial analyses

2021 5

  1. Fast Kronecker matrix-vector product with einsum
  2. 2021
  3. Balanced spatial partitioning for point data in 20 lines
  4. Modeling spatial structure in binary data with an H3 hexagonal coordinate system
  5. Surrogate modeling for SEIR dynamics

2020 3

  1. Density estimation for geospatial imagery using autoregressive neural models
  2. 2020
  3. Multivariate sample size for Markov chains