stewart hu (stewarthu)

stewarthu

Geek Repo

Company:Sixfold AI

Location:NYC, NY

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stewart hu's repositories

llm-notes

LLMs for Data Scientists

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hlogo

A Parallel NetLogo variant in Haskell

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aivika

A multi-method simulation library

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alga

Algebraic graphs

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dh-core

Functional data science

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ESL

​The Economic Simulation Library provides an extensive collection of tools to develop, test, analyse and calibrate economic and financial agent-based models. The library is designed to take advantage of different computer architectures. In order to facilitate rapid iteration during model development the library can use parallel computation. Economic models developed using the library can be deployed into large-scale distributed computing environments when working with large model instances and datasets and provides routines to set up large-scale sampling computations during the analysis and calibration process.

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fast-HodgeRank

Code implemented and thesis on HodgeRank, Least-squares on graph problems

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Frames

Data frames for tabular data.

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funflow

Functional workflows

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ghuntley

<3 PR's. If you see an opportunity to make things better, please do.

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hakaru

A probabilistic programming language

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HaskellR

The full power of R in Haskell.

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hodge-graphs

Some fun with combinatorial Hodge decompositions from graphs.

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kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

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langchain

⚡ Building applications with LLMs through composability ⚡

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llama_index

LlamaIndex (GPT Index) is a data framework for your LLM applications

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llm

Access large language models from the command-line

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lnbook

Mastering the Lightning Network (LN)

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nixpkgs

Nix Packages collection

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numerical-tours

Numerical Tours of Signal Processing

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porcupine

Express parametrable, composable and portable data pipelines

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post-rfc

Blog post previews in need of peer review

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sparkle

Haskell on Apache Spark.

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stack-templates

Project templates for stack new

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tstop

Time-series topology data analysis tool suite (TS-TOP) and datasets for characterizing and classifying time-series data

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