robertfeldt/edward_tensorflow_gpu

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Created almost 7 years ago
Updated almost 7 years ago

robertfeldt/edward_tensorflow_gpu

robertfeldt

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Running Edward with TensorFlow using GPUs on Amazon AWS

BlackBoxOptim.jl

Black-box optimization for Julia

InfoTheory.jl

Estimating information theoretic measures (entropy, mutual information etc) from data

meta_compile

A meta compilation framework à la Meta-II by Val Schorre

wasp_SE_course

Resources and student assignments for the WASP Software Engineering course

BaseTestAuto.jl

Extends the BaseTestNext.jl package to support many forms of automated testing

feldtlib

Robert Feldt's Library of common code

spec-check

Specification and autochecking of software behavior expectations (for Clojure)

DataMutators.jl

Shrink/Grow (i.e. mutate) your test data to isolate the causes of bugs and test fails.

sci-pub-se

Scientific Publishing in SE PhD Course

relixir

Interface between Elixir and R (statistical computing environment)

feldtruby

Robert Feldt's Common Ruby Code lib

MultiDistances.jl

Collects many string and object distances (incl compression and set distances)

EarthMoversDistance.jl

Julia wrapper around C implementation of the Earth Mover's Distance

clolog

Logic programming in Clojure

rockit

Ruby parsing framework

supervising_se_research

Material for PhD course given at Software Engineering, GU and Chalmers

AutoTest.jl

Testing framework for Julia with auto execution and auto generation of data

robertfeldt.github.io

New personal web page

poptimize

Parallel/distributed optimization framework for Elixir

PushGP.jl

A Julia implementation of the Push language for Genetic Programming

CodeTracer.jl

Instrument Julia code so we can trace it, calculate coverage, do mutation testing etc...

Cryptography.jl

Simple crypto functions in pure Julia (no security guarantees!)

FeldtLib.jl

Misc julia code that have not yet found its home in a package...

Compress.jl

Pure Julia Compression Algorithms

MultiOptim.jl

Flexible optimization framework for Julia (focused on derivative-free, multi-objective optimization)

InterpretableModels.jl

Interpretable and Explainable AI/Machine Learning

ClearStats

Clear and simple statistical testing with explanations

DocumentDistances.jl

Calculate distances (metrics) between documents

LLMiddleware.jl

Julia package to build middleware and tools based on large language models and (task-specific) cognitive architectures