Rahul Shrestha

<WIP> Comparitive benchmarks notebook

3

This PR adds a Jupyter notebook for benchmarking IO time, IO memory, on-disk size and in-memory size for objects in Anndata, Loom and Seurat. Related issue: https://github.com/scverse/anndata/issues/781

Dask dataframe support

3

This PR introduces support for Dask dataframes in anndata. TODOs: - [ ] Indexing - [ ] Writing / Reading - [ ] Concatenation - [x] assert_equal for tests -...

Benchmarking support with asv

1

This PR introduces benchmarking for Scanpy with airspeed-velocity (asv) ([Link](https://asv.readthedocs.io/en/stable/index.html))

Add examples from "Causal Inference and Discovery in Python" to tests

1

- This PR intends to add tests from the book "Causal Inference and Discovery In Python" ([link](https://github.com/PacktPublishing/Causal-Inference-and-Discovery-in-Python)) in order to ensure backwards compatibility to future releases of doWhy - Related...

Vectorize operations for propensity score matching

2

This PR addresses this [issue](https://github.com/py-why/dowhy/issues/935) by introducing vectorized operations instead of the existing for-loops. This should speed up operations for large datasets. This PR is a work in progress, and...

Add notebook testing capabilites in Interactive

2

Related PR: https://github.com/scverse/spatialdata-notebooks/pull/46

Remove use of CausalModel from notebooks and test files

9

This PR addresses this [issue](https://github.com/py-why/dowhy/issues/1217). Since `CausalModel` is deprecated, it should be removed from tutorials and test cases.

**Is your feature request related to a problem? Please describe.** `CausalModel` is deprecated and should be removed from tutorials and test cases. **Describe the solution you'd like** Replace it with...

Add doubly robust estimator + notebook

4

This draft PR addresses this [issue](https://github.com/py-why/dowhy/issues/407), by introducing the doubly robust estimator to doWhy. It also contains a tutorial notebook applying this algorithm to a demo dataset. This is a...

Fix incorrect edges in `adjacency_matrix_to_graph`

2

This PR fixes the issue of incorrect edges in `adjacency_matrix_to_graph` when the adjacency matrix is of type `np.matrix` by converting the matrix into a numpy array. Related issue: https://github.com/py-why/dowhy/issues/887