Weakly Supervised End-to-End Learning (NeurIPS 2021)
☆155Mar 20, 2023Updated 3 years ago
Alternatives and similar repositories for weasel
Users that are interested in weasel are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- skweak: A software toolkit for weak supervision applied to NLP tasks☆926Sep 2, 2024Updated last year
- A curated list of programmatic weak supervision papers and resources☆193Mar 1, 2023Updated 3 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆30Feb 25, 2021Updated 5 years ago
- More interactive weak supervision with FlyingSquid☆315Sep 1, 2020Updated 5 years ago
- [NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark☆227Feb 13, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Self-training with Weak Supervision (NAACL 2021)☆162Jul 24, 2023Updated 2 years ago
- A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently…☆108Sep 10, 2024Updated last year
- Code for "Classifying Unstructured Clinical Notes via Automatic Weak Supervision", MLHC 2022.☆16Mar 10, 2023Updated 3 years ago
- Active Learning for Text Classification in Python☆638Apr 17, 2026Updated 2 weeks ago
- [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…☆206Aug 17, 2022Updated 3 years ago
- SPEAR: Programmatically label and build training data quickly.☆110Jun 27, 2024Updated last year
- ☆59Apr 24, 2021Updated 5 years ago
- ☆17Sep 20, 2021Updated 4 years ago
- Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets☆4,948Apr 20, 2026Updated last week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Set of tools to do parameter estimation from likelihood fits and estimate uncertainties on the fitted parameters or derived quantities.☆15May 22, 2019Updated 6 years ago
- A system for quickly generating training data with weak supervision☆5,957Apr 10, 2026Updated 3 weeks ago
- A Python library aimed at dissecting and augmenting NER training data.☆61May 11, 2023Updated 2 years ago
- Spark Monitoring☆13Feb 28, 2023Updated 3 years ago
- Python package for Model Metric Uncertainty estimation☆16Sep 5, 2024Updated last year
- NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations☆787May 19, 2024Updated last year
- Abstractions for feature engineering on large graphs of tabular data.☆26Apr 15, 2026Updated 2 weeks ago
- Efficient few-shot learning with Sentence Transformers☆2,724Apr 17, 2026Updated 2 weeks ago
- Light-weight, Python-based data-analysis framework☆12Feb 24, 2019Updated 7 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- A previous version of Snorkel focused on information extraction☆36Sep 9, 2019Updated 6 years ago
- Resources for Data Centric AI☆1,142Dec 13, 2023Updated 2 years ago
- Python implementation of Histogrammar, a package for creating histograms with Numpy, Pandas and Spark.☆36Sep 2, 2025Updated 7 months ago
- A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coher…☆1,267Jul 24, 2025Updated 9 months ago
- Badgers: Bad Data Generators☆14Jan 29, 2026Updated 3 months ago
- ☆76May 17, 2023Updated 2 years ago
- A python package for benchmarking interpretability techniques on Transformers.☆215Sep 29, 2024Updated last year
- ☆18Feb 28, 2022Updated 4 years ago
- Automatically labeling training data☆108Jan 8, 2019Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with enti…☆244Jun 19, 2023Updated 2 years ago
- Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.☆1,413Aug 30, 2023Updated 2 years ago
- A package for fine tuning of pretrained NLP transformers using Semi Supervised Learning☆14Oct 27, 2021Updated 4 years ago
- FastFit ⚡ When LLMs are Unfit Use FastFit ⚡ Fast and Effective Text Classification with Many Classes☆216Sep 18, 2025Updated 7 months ago
- A collection of tutorials for Snorkel☆405Apr 18, 2026Updated 2 weeks ago
- PyTorch Code for the Paper: "Exploiting Uncertainty of Loss Landscape for Stochastic Optimization [Bhaskara et al. (2019)]☆16Dec 8, 2025Updated 4 months ago
- Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data …☆11,448Jan 13, 2026Updated 3 months ago