Alternatives and similar repositories for mcgmenn

Users that are interested in mcgmenn are comparing it to the libraries listed below

• jzenkner / AbstractBeam
  ☆11Updated 9 months ago
• atschalz / dc_tabeval
  A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
  ☆17Updated 10 months ago
• jannik-brinkmann / social-biases-in-vision-transformers
  [ICCV 2023] Official PyTorch implementation of "A Multidimensional Analysis of Social Biases in Vision Transformers"
  ☆12Updated last year
• s-marton / GradTree
  (AAAI 2024) GradTree: Gradient-Based Axis-Aligned Decision Trees
  ☆28Updated 5 months ago
• vanderschaarlab / Datagnosis
  A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.
  ☆25Updated 4 months ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆194Updated 5 months ago
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆125Updated last week
• patrick-knab / DSEG-LIME
  Improved image classification using a modified LIME framework, enabling user-driven hierarchical feature analysis through the integration…
  ☆16Updated 3 months ago
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆162Updated last year
• LennartPurucker / finetune_tabpfn_v2
  Code for finetuning TabPFN on one downstream tabular dataset.
  ☆66Updated last month
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆92Updated 3 weeks ago
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆134Updated 3 months ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆188Updated 2 years ago
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆77Updated last month
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆55Updated last year
• josephenguehard / time_interpret
  Unified Model Interpretability Library for Time Series
  ☆60Updated 2 months ago
• JHoelli / Awesome-Time-Series-Explainability
  A list of (post-hoc) XAI for time series
  ☆152Updated 10 months ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆47Updated 2 years ago
• scikit-adaptation / skada
  Domain adaptation toolbox compatible with scikit-learn and pytorch
  ☆130Updated this week
• sanatonek / time_series_explainability
  ☆61Updated 4 years ago
• thutzr / GLIME-General-Stable-and-Local-LIME-Explanation
  GLIME is a post-hoc explanation method which is proved to be much more stable and faithful than LIME.
  ☆14Updated 9 months ago
• Navidfoumani / monster
  Monash Scalable Time Series Evaluation Repository
  ☆16Updated last month
• LeoGrin / tabular-benchmark
  ☆483Updated 10 months ago
• soroushzargar / DAPS
  Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"
  ☆15Updated 2 years ago
• shivam-grover / S3-TimeSeries
  Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations
  ☆28Updated 8 months ago
• jarrycyx / UNN
  Causal Neural Nerwork
  ☆117Updated 3 weeks ago
• behavioral-data / FluStudy
  ☆13Updated 2 years ago
• mirkobunse / critdd
  Critical difference diagrams with Python and Tikz
  ☆33Updated 9 months ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆78Updated 4 months ago
• mims-harvard / TimeX
  Time series explainability via self-supervised model behavior consistency
  ☆48Updated last year