-
Through the navigation bar, a user should be able to make a node representing any software they're aware of. With promiscuous software distribution, this is a wide selection.
There are a lot of affo…
-
The following is a summary of potential improvements/features for the classification model
[Experiment Plan](https://docs.google.com/spreadsheets/d/1bj_t5tNHluGJoujQYqk08CEP_8t5uI1prBFmbS3YyNc/edit…
-
The parameter drop_connect_rate is used for stochastic depth of the network, but the function drop_connect() seems to drop samples ?
```
def drop_connect(inputs, p, training): …
-
### Bayes Theorem
#### posteriori probability / conditional probability
P(H|E) is the probability of the hypothesis (i.e. that E is a rose), given that we
have seen that E is red and long
#…
-
Some months ago, we added Pareto optimization to TPOT, where TPOT now maximizes the pipeline classification accuracy while minimizing the number of operators in the pipeline. We found that such an add…
-
I'm trying to get an overview what we can add for oneway anova, and then for generalization to linear models (or generically for all Wald type inference)
cases by generality, including variations l…
-
[The format of the issue]
Paper name/title:
Paper link:
Code link:
keywords:
-
If I've understood correctly, fi_ftb and fi are both treebanks for Finnish. It is therefore inappropriate for one to be in dev and the other to be in test --- if people are using this split to test c…
-
Wishing for a method `l2norm(d::Distribution)` that returns the L2 norm of the probability density function for `d`. Our use case is computing the Brier loss and integrated square loss for machine lea…
-
Hi,
Thanks for providing this awesome work open source!
I would like to ask for your advice on something. I have input RGB and sparse depth which typically looks like this (from ScanNet). Here, th…