New Causal Impact Library
Bayesian CausalImpact for Python — R-compatible Gibbs sampler in Rust (PyO3), 30x faster, no TensorFlow - YuminosukeSato/bsts-causalimpact
New Causal Impact Library launched on March 27, 2026 with 9 votes, #1,237 of 23,380 launches that month and more than 75% of that year's launches.
Does a similar job
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Git bayesect – Bayesian Git bisection for non-deterministic bugsMar 2026 · github.com · ▲337Bayesian git bisect. Contribute to hauntsaninja/git_bayesect development by creating an account on GitHub.
Fast vector similarity using Rust and Python2023 · github.com · ▲141I recently found myself computing the similarity between lots of very high dimensional vectors (i.e., sentence embedding vectors from LLMs), and I wanted to try some more powerful measures of similarity/dependency than just Cosine similarity, which seems to be the default for everything nowadays because of its computational efficiency. There are many other more involved measures that can detect more subtle relationships, but the problem is that some of them are quite slow to compute, especially if you're trying to do it in Python. For my favorite measure of statistical dependency,…
Automated smooth Nth order derivatives of noisy data2024 · github.com · ▲146This little project came about because I kept running into the same problem: cleanly differentiating sensor data before doing analysis. There are a ton of ways to solve this problem, I've always personally been a fan of using kalman filters for the job as its easy to get the double whammy of resampling/upsampling to a fixed consistent rate and also smoothing/outlier rejection. I wrote a little numpy only bayesian filtering/smoothing library recently (https://github.com/hugohadfield/bayesfilter/) so this felt like a fun and very useful first thing to…
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A radically more scalable alternative to Bayesian Optimization2018 · github.com · ▲96Experimental Global Optimization Algorithm. Contribute to chrisstroemel/Simple development by creating an account on GitHub.
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Source: Show HN post ↗
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