Digital-Dermatology / SelfCleanLinks
🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors (NeurIPS'24).
☆36Updated 4 months ago
Alternatives and similar repositories for SelfClean
Users that are interested in SelfClean are comparing it to the libraries listed below
Sorting:
- A regression-alike loss to improve numerical reasoning in language models☆24Updated 3 weeks ago
- ☆63Updated this week
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆66Updated 10 months ago
- Quickest way to share everything about your research within a single app☆16Updated last year
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 4 months ago
- Recycling diverse models☆45Updated 2 years ago
- ICLR 2025 - official implementation for "I-Con: A Unifying Framework for Representation Learning"☆109Updated last month
- I2M2: Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning (NeurIPS 2024)☆21Updated 9 months ago
- ☆27Updated last month
- One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation☆41Updated 9 months ago
- Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals☆30Updated 2 years ago
- PAL: Predictive Analysis & Laws of Large Language Models☆36Updated 7 months ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- Modalities, a PyTorch-native framework for distributed and reproducible foundation model training.☆85Updated this week
- Automatic identification of regions in the latent space of a model that correspond to unique concepts, namely to concepts with a semantic…☆14Updated last year
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆39Updated 3 years ago
- Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.☆28Updated 9 months ago
- Conference schedule, top papers, and analysis of the data for NeurIPS 2023!☆119Updated last year
- PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023☆20Updated 2 years ago
- Easily get basic insights about your ML dataset☆39Updated last year
- Self-Supervised Learning in PyTorch☆138Updated last year
- ☆15Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- Accompanying code for "Analyzing Vision Tranformers in Class Embedding Space" (NeurIPS '23)☆14Updated last year
- A repository to house some personal attempts to beat some state-of-the-art for medical datasets☆99Updated last year
- The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends☆77Updated 8 months ago
- Library for the Test-based Calibration Error (TCE) metric to quantify the degree to classifier calibration.☆13Updated last year
- A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.☆66Updated last month
- PyTorch Lightning template for rapid, scalable and reproducible ML experimentation with best practices.☆23Updated 3 months ago
- Quickest way to share everything about your research within a single app☆37Updated 10 months ago