Merge pull request #165 from basf/hot-fix_develop

adapt paper link in readme

README.md

@@ -19,7 +19,7 @@
     <h1>Mambular: Tabular Deep Learning (with Mamba)</h1>
 </div>
 
-Mambular is a Python library for tabular deep learning. It includes models that leverage the Mamba (State Space Model) architecture, as well as other popular models like TabTransformer, FTTransformer, and tabular ResNets. Check out our paper `Mambular: A Sequential Model for Tabular Deep Learning`, available [here](https://arxiv.org/abs/2408.06291). Also check out our paper introducing (TabulaRNN)[https://arxiv.org/pdf/2411.17207] and analyzing the efficiency of NLP inspired tabular models. 
+Mambular is a Python library for tabular deep learning. It includes models that leverage the Mamba (State Space Model) architecture, as well as other popular models like TabTransformer, FTTransformer, and tabular ResNets. Check out our paper `Mambular: A Sequential Model for Tabular Deep Learning`, available [here](https://arxiv.org/abs/2408.06291). Also check out our paper introducing [TabulaRNN](https://arxiv.org/pdf/2411.17207) and analyzing the efficiency of NLP inspired tabular models. 
 
 <h3> Table of Contents </h3>
 

mambular/configs/__init__.py

@@ -9,8 +9,6 @@
 from .ndtf_config import DefaultNDTFConfig
 from .node_config import DefaultNODEConfig
 from .tabm_config import DefaultTabMConfig
-from .trem_config import DefaultTREMConfig
-from .cnn_config import DefaultCNNConfig
 
 
 __all__ = [
@@ -25,6 +23,4 @@
     "DefaultNDTFConfig",
     "DefaultNODEConfig",
     "DefaultTabMConfig",
-    "DefaultTREMConfig",
-    "DefaultCNNConfig",
 ]