linkedin/dagli

Framework for defining machine learning models, including feature generation and transformations, as directed acyclic graphs (DAGs).

Beginner friendly Everything

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7 open issues indexed

Layer names missing in summary Open

Difficulty 2/5 1-3 hours Newbie friendliness 45/100

linkedin/dagli#14 · Opened Sep 28, 2023
More control over loss functions Open

Difficulty 5/5 Over a week Newbie friendliness 25/100

linkedin/dagli#12 · 14 comments · Opened Nov 26, 2021
Be able to output the dl4j computationGraph.summary() for debugging purposes Open

Difficulty 5/5 Over a week Newbie friendliness 25/100

linkedin/dagli#11 · 2 comments · Opened Oct 1, 2021
BinaryEvaluation often results in NaN for best F1-Scores Open

Difficulty 2/5 1-3 hours Newbie friendliness 35/100

linkedin/dagli#10 · 1 comment · Opened Aug 20, 2021
How to: Feed Output of final dense layer to LSTM using the examples=placeholders as time series data? Open

Difficulty 5/5 Over a week Newbie friendliness 25/100

linkedin/dagli#9 · 18 comments · Opened Aug 1, 2021
Logging frequence has no effect on DL4J logging intervals Open

Difficulty 3/5 1-2 days Newbie friendliness 35/100

linkedin/dagli#7 · 3 comments · Opened Feb 9, 2021
Add CRF (Conditional Random Fields) Layer Open

Difficulty 5/5 Over a week Newbie friendliness 20/100

linkedin/dagli#5 · 1 comment · Opened Jan 26, 2021

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