20001 |
machine-learning-and-system-identification-for-adaptive-optics |
aleksandarhaber |
TODO |
3 |
0 |
TODO |
20002 |
machine-learning-at-scale |
Azure |
TODO |
34 |
1 |
TODO |
20003 |
machine-learning-best-practices |
Azure |
TODO |
89 |
7 |
TODO |
20004 |
machine-learning-charter |
w3c |
TODO |
83 |
20 |
TODO |
20005 |
MachineLearningDesigner |
Azure |
TODO |
38 |
5 |
TODO |
20006 |
machine-learning-go-client |
grafana |
TODO |
30 |
0 |
TODO |
20007 |
MachineLearningNotebooks |
Azure |
TODO |
1297 |
1423 |
TODO |
20008 |
machine-learning-of-arx-models-of-dynamical-systems-using-keras-and-mlp |
aleksandarhaber |
TODO |
2 |
0 |
TODO |
20009 |
machine-learning-of-dynamical-systems-using-recurrent-neural-networks |
aleksandarhaber |
TODO |
8 |
0 |
TODO |
20010 |
machine-learning-of-transient-structural-thermal-optical-peformance-stop-models |
aleksandarhaber |
TODO |
0 |
0 |
TODO |
20011 |
MachineLearningSamples-AMLTextPackage-TwitterSentimentPrediction |
Azure |
TODO |
13 |
1 |
TODO |
20012 |
MachineLearningSamples-NotebookTemplate |
Azure |
TODO |
14 |
1 |
TODO |
20013 |
machine_learning-sas-viya-book |
sassoftware |
TODO |
2 |
0 |
TODO |
20014 |
machine-learning-with-python |
aiforsec |
TODO |
502 |
0 |
TODO |
20015 |
machine-learning-workshop |
w3c |
TODO |
365 |
41 |
TODO |
20016 |
machine-os-images |
openshift |
TODO |
59 |
1 |
TODO |
20017 |
machine-remediation |
kubevirt |
TODO |
169 |
1 |
TODO |
20018 |
machine-swipe-system |
theconstructrit |
TODO |
60 |
0 |
TODO |
20019 |
macos-signing |
vmware-archive |
TODO |
23 |
0 |
TODO |
20020 |
macro-expander |
fedora-selinux |
TODO |
13 |
1 |
TODO |
20021 |
macro-utils-c |
Azure |
TODO |
182 |
13 |
TODO |
20022 |
mac-sandbox |
sandialabs |
TODO |
1 |
0 |
TODO |
20023 |
macvtap-cni |
kubevirt |
TODO |
170 |
15 |
TODO |
20024 |
madan-fonts |
openela-main |
TODO |
1 |
0 |
TODO |
20025 |
madlib |
apache |
TODO |
3000 |
0 |
TODO |