google-research / lanistrLinks
☆69Updated 3 months ago
Alternatives and similar repositories for lanistr
Users that are interested in lanistr are comparing it to the libraries listed below
Sorting:
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 8 months ago
- 🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors (NeurIPS'24).☆36Updated last month
- Conference schedule, top papers, and analysis of the data for NeurIPS 2023!☆121Updated last year
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆68Updated last year
- ☆139Updated 2 years ago
- Research on Tabular Foundation Models☆60Updated 11 months ago
- Open-source Python toolkit focused on deep learning with ordinal methodologies☆63Updated this week
- PAL: Predictive Analysis & Laws of Large Language Models☆38Updated 10 months ago
- ICLR 2025 - official implementation for "I-Con: A Unifying Framework for Representation Learning"☆117Updated 4 months ago
- The code for the paper "MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement"☆23Updated last year
- A regression-alike loss to improve numerical reasoning in language models - ICML 2025☆26Updated 3 months ago
- A collection of AWESOME language modeling techniques on tabular data applications.☆32Updated last year
- NeurIPS'24 DB (Spotlight) | Instruction Tuning Large Language Models to Understand Electronic Health Records☆51Updated 2 months ago
- Active Learning in the era of Foundation Models☆10Updated 7 months ago
- [ICLR 2023] MultiViz: Towards Visualizing and Understanding Multimodal Models☆99Updated last year
- ☆117Updated 2 years ago
- Towards Understanding the Mixture-of-Experts Layer in Deep Learning☆32Updated last year
- Medical Hallucination in Foundation Models and Their Impact on Healthcare (2025)☆73Updated 2 weeks ago
- ☆43Updated last year
- Symile is a flexible, architecture-agnostic contrastive loss that enables training modality-specific representations for any number of mo…☆43Updated 7 months ago
- A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evalu…☆196Updated 4 months ago
- MultiModN – Multimodal, Multi-Task, Interpretable Modular Networks (NeurIPS 2023)☆35Updated 2 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆54Updated 4 months ago
- Automatic identification of regions in the latent space of a model that correspond to unique concepts, namely to concepts with a semantic…☆14Updated 2 years ago
- Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"☆61Updated last year
- Code for the paper "ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?"☆29Updated 5 months ago
- Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals☆30Updated 3 years ago
- PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆78Updated 2 years ago
- [ICCV25] Official Implementation of LeGrad☆82Updated last year
- I2M2: Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning (NeurIPS 2024)☆22Updated last year