- Melbourne, Australia
- evalparse.com
- @evalparse
Lists (2)
Sort Name ascending (A-Z)
Starred repositories
A modern commutative diagram editor for the web.
A desktop application for viewing and analyzing tabular data
[wip] Deep Learning Compiler based on Polyhedral Compiler, Light-weight IRs, and Optimizing Pattern Matcher. (development is on hold until I secure good sponsors or enough time)
A statistical and graphical toolkit for analyzing data for possible patterns of discrimination (racial, gender, age, etc.)
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
A natural language interface for computers
Automate browser-based workflows with LLMs and Computer Vision
Python training for business analysts and traders
BI benchmark with user generated data and queries
A simple game library to make game development in the Julia programming language easy.
High-performance automatic differentiation of LLVM and MLIR.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
MPC in wasm based on emp-toolkit
๐ Path to a free self-taught education in Computer Science!
An extensible, state of the art columnar file format. Formerly at @spiraldb, now a Linux Foundation project.
Tidier data transformations in Julia, modeled after the dplyr/tidyr R packages.
ScholArxiv is an open-source, aesthetic, minimal and AI powered app that allows users to search, read, bookmark, share, download and view summaries of academic papers from the arXiv repository.
Easily and efficiently memoize any function, closure, or callable object in Julia.
Meta-package for data analysis in Julia, modeled after the R tidyverse.
๐ Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Multithreaded package for working with tabular data in Julia
Interactive Computer Algebra System. Augmenting how we *do* mathematics using computers
Python programs, usually short, of considerable difficulty, to perfect particular skills.