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release: Release 1.4.0.post1 (#3564)
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CHANGELOG.md

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#### Added
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- Add support for mudata during ray autotune, {pr}`3545`.
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#### Fixed
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- Fix in non multiGPU training to have history in memory, and not on disk by default, {pr}`3543`.
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- Fix Jax dependency in function log_nb_positive, {pr}`3558`.
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- Fix {class}`scvi.model.TOTALVI` convert_legacy_save function with updated model parameters, {pr}`3561`.
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- Removed graceful shutdown from Jupyter notebook, {pr}`3556`.
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### 1.4.0 (2025-09-14)
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#### Added
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- Add support for mudata during ray autotune, {pr}`3545`.
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- Add a PyTorch implementation of {class}`scvi.external.MRVI`, {pr}`3304`.
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- Add checkpointing with {class}`scvi.autotune.AutotuneExperiment`, {pr}`3452`.
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- Add Downstream Analysis functions multi GPU support, {pr}`3443`.
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#### Fixed
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- Fix in non multiGPU training to have history in memory, and not on disk by default, {pr}`3543`.
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- Fix {class}`scvi.model.TOTALVI` convert_legacy_save function with updated model parameters, {pr}`3561`.
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- Fix in library size calculation in {class}`scvi.model.TOTALVI`, {pr}`3452`.
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- Fix scarches surgery in {class}`scvi.external.SysVI`, {pr}`3466`.
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- Fix VAE load size mismatch when using extra covariates with custom datamodule, {pr}`3461`.
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- Remove the support for Python 3.10, {pr}`3441`.
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- Remove the support for setup_anndata in {class}`~scvi.model.MULTIVI`, {pr}`3486`.
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- Removed graceful shutdown from Jupyter notebook, {pr}`3556`.
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## Version 1.3
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pyproject.toml

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[project]
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name = "scvi-tools"
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version = "1.4.0"
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version = "1.4.0.post1"
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description = "Deep probabilistic analysis of single-cell omics data."
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readme = "README.md"
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requires-python = ">=3.11"

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