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aicoe-insights-clustering

Clustering of systems

ast-parsing

basic-transformer

battleship

bayesopt-explorations

Tutorials on Bayesian Optimization

brnomlworkshop2019

Subset of material for a 5-day machine learning workshop

c2vtutorials

cabal

Official upstream development repository for Cabal and cabal-install

code2vec

TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

codesearchnet

Datasets, tools, and benchmarks for representation learning of code.

data-science-workflows

dbn_upper_bound

Computational effort to upper bound the de Bruijn-Newman constant as part of a Polymath project

devconfbrno2019

djianews

frauddetectionexample

gccoptim

Using reinforcement learning to do combinatorial optimization on gcc parameters

gnnexamples

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jupyter_contrib_nbextensions

A collection of various notebook extensions for Jupyter

ksreflexivepoly

Machine Learning on Kreuzer-Skarke Data (http://hep.itp.tuwien.ac.at/~kreuzer/CY/)

kubeflow_usecases

kutrace

Low-overhead tracing of all Linux kernel-user transitions, for serious performance analysis. Includes kernel patches, loadable module, and post-processing software. Output is HTML/SVG per-CPU-core timeline that you can pan/zoom down to the nanosecond.

linux-tuning

logo-detector

network_exec_energy_study

Studying the possibilities of network-bound energy proportional execution.

nic-tuning-experiments

Experimental approaches for tuning NIC registers

operate-first-scaling-ml

pricingnbs

primitives

pysyft

A library for encrypted, privacy preserving deep learning - based on PyTorch