Merge pull request #210 from AdityaPandeyCN/master

Small Grant Request for NeuroTabModels.jl Project

Author: ChrisRackauckas

small_grants.md

@@ -162,8 +162,6 @@ will "go the extra mile" to teach the contributor how the package or mathematics
 
 # List of Current Projects
 
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 ## Update LoopVectorization.jl to pass all tests on MacOS ARM Systems (\$200)
 
 **In Progress**: Claimed by Khushmagrawal for the time period of January 02, 2026 - February 02, 2026.
@@ -198,12 +196,10 @@ which SciML will help administer through the small grants program.
 
 **Reviewers**: Chris Rackauckas and Oscar Smith
 
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 ## Setup SciMLBenchmarks CI scripts to support GPU benchmarking (\$300)
 
 The current SciMLBenchmarks only run on CPU. There are many cases we wish to benchmark on GPU. The goal of this project is to modify the CI scripts to support GPU benchmarking.
 
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 **In Progress**: Claimed by divital-coder for the time period of (06-12-2025) - (06-02-2026).
 
 **Information to Get Started**: See the current scripts in https://github.com/SciML/SciMLBenchmarks.jl/tree/master/.buildkite
@@ -349,6 +345,8 @@ development skills and test-driven development of a large code base is required.
 
 ## Add support for TabM architecture in NeuroTabModels.jl and remove Zygote.jl dependency (\$1800)
 
+**In Progress**: Claimed by Aditya Pandey for the time period of January 20, 2026 - March 5, 2026.
+
 [NeuroTabModels.jl](https://github.com/Evovest/NeuroTabModels.jl) is a library for training neural networks on tabular data. It currently supports a limited set of architectures: MLP, ResNets and NeuroTrees, and is built on top of Flux.jl and Zygote.jl.
 
 The objective of this project is to set a better foundation for the library by moving from Zygote to Enzyme to benefit from improved performance through Reactant and demonstrating ease of extension by adding support for a new architecture type, TabM.