google-research / lanistrLinks
☆69Updated 5 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☆106Updated 10 months ago
- PAL: Predictive Analysis & Laws of Large Language Models☆39Updated last year
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆72Updated last year
- Conference schedule, top papers, and analysis of the data for NeurIPS 2023!☆120Updated 2 years ago
- Towards Understanding the Mixture-of-Experts Layer in Deep Learning☆34Updated 2 years ago
- Research on Tabular Foundation Models☆67Updated last year
- ICLR 2025 - official implementation for "I-Con: A Unifying Framework for Representation Learning"☆121Updated 6 months ago
- [NeurIPS 2024] 🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors.☆36Updated 2 months ago
- Model Stock: All we need is just a few fine-tuned models☆128Updated 5 months ago
- ☆146Updated last year
- Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"☆55Updated last year
- Recycling diverse models☆46Updated 2 years ago
- ☆117Updated 2 years ago
- Decomposing and Editing Predictions by Modeling Model Computation☆139Updated last year
- ☆39Updated 7 months ago
- Self-Supervised Learning in PyTorch☆143Updated last year
- A regression-alike loss to improve numerical reasoning in language models - ICML 2025☆27Updated 4 months ago
- Open-source Python toolkit focused on deep learning with ordinal methodologies☆65Updated 3 weeks ago
- PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆81Updated 2 years ago
- Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals☆30Updated 3 years ago
- The code for the paper "MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement"☆23Updated last year
- ☆140Updated 2 years ago
- Code for the paper "ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?"☆31Updated 6 months ago
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆46Updated 2 months ago
- ☆15Updated last year
- [NeurIPS 2024] RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models☆31Updated last year
- Large language model of Medical AI, General Medical AI (GMAI)☆17Updated last year
- BenchBench is a Python package to evaluate multi-task benchmarks.☆18Updated 2 months ago
- Repository for the paper: "TiC-CLIP: Continual Training of CLIP Models" ICLR 2024☆110Updated last year
- I2M2: Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning (NeurIPS 2024)☆22Updated last year