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mojo-nix
nix-cuda-test
mojo_rt
Mojo ray tracer experimentcuda-redist-find-features
Finds the features (bin, lib, static, supported capabilities, etc.) associated with CUDA redistributables for NixpkgsCS321_Lectures
GMU Fall 2019 CS 321 Lecture notestasty-json-to-markdown-action
GitHub action which takes JSON output by tasty-json and produces a markdown table with the results of the testsghc_hyperopt
Using hyper parameter optimization to select optimal GHC compilation and runtime system options based on the performance of a Tasty benchmark suitenixos-configs
nix-cuda-baseline
Size of different PyTorch CUDA offeringslambda-cloud
Interact with the Lambda Cloud API using PythonCS310_Lectures
Notes on GMU's Data Structures Course (CS310, Spring 2019)aws-glue-scala-etl-flake
A Nix Flake which provides an environment with AWS Glue 3.0, Java 8, and Scala 2.12pdt-cuda-work-numbers
Flake to generate numbers for improvement in closure sizes between work start and stoptheorem-proving-in-lean4
mfsr_utils
Utilities for multi-frame super-resolutionHaskellRT
A ray-tracer written in Haskell meant to explore the relationship between different floating-point implementations and image qualityLove Open Source and this site? Check out how you can help us