A package for dealing with crowdsourced big data. Website: https://enriquegrodrigo.github.io/spark-crowd/
☆63Dec 5, 2018Updated 7 years ago
Alternatives and similar repositories for spark-crowd
Users that are interested in spark-crowd are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆147Aug 2, 2024Updated 2 years ago
- The dataset repo of "CLCIFAR: CIFAR-Derived Benchmark Datasets with Human Annotated Complementary Labels" paper☆17May 11, 2026Updated 5 months ago
- A truth inference tool in crowdsourcing☆13May 19, 2020Updated 6 years ago
- Models, scripts, and data sets for data annotation (aka coding, aka rating)☆12Mar 9, 2015Updated 11 years ago
- Deep Probabilistic Programming Language☆19Jul 25, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Quality control code for estimating the quality of the workers in crowdsourcing environments☆72Jul 12, 2025Updated last year
- proportion-SVM (pSVM, $\propto$SVM) for learning with label proportions☆21Jul 11, 2013Updated 13 years ago
- This is the framework with 17 existing crowdsourced truth inference algorithms.☆29Nov 17, 2017Updated 8 years ago
- Credici: Credal Inference for Causal Inference☆22May 17, 2025Updated last year
- SQUARE-2.0 (Statistical QUality Assurance Robustness Evaluation)☆20Oct 26, 2015Updated 10 years ago
- The Vera Institute of Justice has compiled a spreadsheet containing links to official police datasets for 72 cities - the 50 largest citi…☆14Jan 27, 2022Updated 4 years ago
- A Python package that makes it easier to test and compare machine learning models before they are deployed.☆10Sep 3, 2024Updated 2 years ago
- A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk)…☆69Dec 13, 2021Updated 4 years ago
- Mechanical Tsar (Project Halted, Maintainer Needed).☆11Feb 2, 2022Updated 4 years ago
- 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.
- Diferentes scripts para representación de carreras en cifras☆10Mar 6, 2017Updated 9 years ago
- Rebooting ggplot2 for scalable big data visualization☆28Apr 19, 2017Updated 9 years ago
- Run delayed and risky choice (DARC) experiments using Bayesian Adaptive Design☆10Sep 12, 2019Updated 7 years ago
- ☆11Sep 5, 2023Updated 3 years ago
- Online Time Series Anomaly Detectors☆29Dec 8, 2022Updated 3 years ago
- Repository of my talk for Bayes@Lund 2017☆10Oct 4, 2017Updated 9 years ago
- Code for Semi-crowdsourced Clustering with Deep Generative Models☆12Dec 9, 2022Updated 3 years ago
- Probabilistic Itemset Mining☆19Jun 22, 2016Updated 10 years ago
- Free icons of Taiwan☆21Mar 14, 2026Updated 6 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling☆11May 16, 2018Updated 8 years ago
- Fast structured perceptron sequential labeler☆15Dec 8, 2015Updated 10 years ago
- Tutorial on Bayesian tests for Machine Learning☆83Dec 8, 2020Updated 5 years ago
- AROW++ An implementation of the efficient confidence-weighted classifier☆11Jan 9, 2021Updated 5 years ago
- The Linear Information Sieve☆16Aug 7, 2017Updated 9 years ago
- A streaming cross-cat inference engine☆20Mar 27, 2024Updated 2 years ago
- Awesome Active Learning Paper List☆149Apr 23, 2024Updated 2 years ago
- Codebase for Extracting Reward Functions from Diffusion Models☆16Dec 7, 2023Updated 2 years ago
- ☆11Apr 3, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Official implementation of ICLR 2026: Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement☆16May 24, 2026Updated 4 months ago
- Factor Modeling for radiomics☆12Sep 25, 2026Updated 2 weeks ago
- Introduction to Deep Learning with the Keras framework☆14May 15, 2018Updated 8 years ago
- My technical blog.☆18Jul 22, 2019Updated 7 years ago
- This is a joint project between Helmholtz Imaging (located at DKFZ) and Lin Yang and Otmar Schmid (Helmholtz Munich).☆13Nov 6, 2024Updated last year
- Deep Weighted Averaging Classifiers☆22Feb 4, 2019Updated 7 years ago
- Differentiate noisy signals with total variational regularization in Python and Mathematica☆26Sep 17, 2021Updated 5 years ago