-
`sktime` contains some well-used and recent examples of data set simulators:
* the `_make_series`, `_make_panel`, `_make_hierarchical` etc utilities
* the `datagen` sub-module in the `annotation` …
-
Write simple summary of papers you read, and how can it helps our project.
What you must read in paper
1. What is target problem, what is model they used.
2. Background and Related Work
-
The paper "Likelihood-free parameter estimation with neural Bayes estimators" (Sainsbury-Dale, Zammit-Mangion, & Huser, 2023) enables neural amortized *point* estimation, which is generally faster tha…
-
**Is your feature request related to a problem? Please describe.**
Create an inferer for aleatoric and epistemic uncertainty.
**Describe the solution you'd like**
The inferer can be based on the …
-
This issue tracks the change cycle for renaming
- `cINNForecaster` to `CINNForecaster` in `sktime.forecasting.conditional_invertible_neural_network`
- `cINNNetwork` to `CINNNetwork` in `sktime.netwo…
-
Hello,
I am interested in performing posterior interference with various simulation models, such as agent based models. I was wondering whether that is possible with your package. One example in P…
-
# Logistics
## Billy
- start with introduction of participants
- for binder, need more instructions: only allowed to have a single running
binder instance, what to do if it says "already have on…
-
In this issue you can either:
- **Add papers** that you think are interesting to read and discuss (please stick to the format).
- **vote**: should be done using :+1: on comments
-
In this issue you can either:
- Add papers that you think are interesting to read and discuss (please stick to the format).
- vote: should be done using :+1: on comments
Example: https://githu…
-
Heya,
Thanks for your continued work in building better DEQs.
The main selling point of DEQs is that the solver can take as many steps as required to converge without increasing the memory. Thi…
polo5 updated
2 years ago