barryhashimoto

barryhashimoto's Stars

• paulgp/GaryChamberlainLectureNotes

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• TheAlgorithms/Python

  All Algorithms implemented in Python

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• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

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• siboehm/lleaves

  Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

  Language:Python33829

• strengejacke/strengejacke

  Wrapper to quickly load the sj-packages.

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• AnotherSamWilson/ParBayesianOptimization

  Parallelizable Bayesian Optimization in R

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• giuseppec/featureImportance

  An R package to assess feature importance

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• tqchen/xgboost

  https://github.com/dmlc/xgboost

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• CDonnerer/xgboost-distribution

  Probabilistic prediction with XGBoost.

  Language:Python9817

• koheiw/GibbsLDA

  Copy of the original GibbsLDA++ from https://sourceforge.net/projects/gibbslda/

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• avehtari/BDA_R_demos

  Bayesian Data Analysis demos for R

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• twbs/bootstrap

  The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

  Language:JavaScript170k78.7k

• incanter/incanter

  Clojure-based, R-like statistical computing and graphics environment for the JVM

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• opencv/opencv

  Open Source Computer Vision Library

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• google/CausalImpact

  An R package for causal inference in time series

  Language:R1.7k251

• py-why/EconML

  ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

  Language:Jupyter Notebook3.7k702

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python64.9k14.6k

• hathix/cs50-section

  Code examples and handouts for my fall 2015 CS50 section

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