JCLAL is a general purpose framework developed in Java for Active Learning.
☆24Jul 24, 2017Updated 9 years ago
Alternatives and similar repositories for JCLAL
Users that are interested in JCLAL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Kernelized Bayesian Matrix Factorization☆17Mar 17, 2018Updated 8 years ago
- Modified Logisic Regression for the Positive and Unlabeled Learning Problem☆12Feb 1, 2014Updated 12 years ago
- ☆17Apr 24, 2016Updated 10 years ago
- Implementing the paper☆15Nov 5, 2016Updated 9 years ago
- Coding exercise to extend tensorflow for imagenet to active learning, for use in a job interview or similar.☆28Aug 30, 2017Updated 9 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Active Learning experiments for Machine Learning in Life Sciences Workshop ECML 2015☆16Oct 12, 2016Updated 9 years ago
- Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…☆31Sep 7, 2021Updated 5 years ago
- An implementation of label propagation from the paper "Learning from labeled and unlabeled data with label propagation"☆20Mar 19, 2016Updated 10 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Aug 21, 2014Updated 12 years ago
- This is a read-only mirror of the CRAN R package repository. MCMCpack — Markov Chain Monte Carlo (MCMC) Package. Homepage: https://CRAN…☆13Aug 28, 2024Updated 2 years ago
- Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper☆36May 9, 2019Updated 7 years ago
- Testing REST API's with Guzzle (3|4) and PHPUnit☆17Jun 25, 2014Updated 12 years ago
- Code for class on Deep Active Learning and Annotation☆16Mar 21, 2018Updated 8 years ago
- Data visualization workshop☆11May 12, 2020Updated 6 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆31Oct 7, 2017Updated 8 years ago
- Adversarial Active Learning for Deep Networks☆14Oct 16, 2018Updated 7 years ago
- Implementation of the listwise Learning to Rank algorithm described in the paper by Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, and Ha…☆17Jun 20, 2018Updated 8 years ago
- BioPython/scikit-bio tutorial for EuroSciPy 2018☆13Aug 27, 2018Updated 8 years ago
- MetaOpt optimizes black-box functions in parallel☆22Feb 26, 2017Updated 9 years ago
- Deep Reinforcement Active learning - Master Thesis☆19Dec 7, 2022Updated 3 years ago
- Identifying and Analyzing Researchers on Twitter☆18Aug 9, 2017Updated 9 years ago
- R scripts related to finance. These scripts will be clones or adaptations of the works of the Systematic Investor and QuantStrat TradeR b…☆10Jun 5, 2015Updated 11 years ago
- streamit☆10Aug 17, 2018Updated 8 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.
- ☆14Dec 17, 2018Updated 7 years ago
- ☆13Oct 23, 2018Updated 7 years ago
- Interactive machine learning for text analysis☆87Mar 29, 2016Updated 10 years ago
- Utilities to scrape the web content of Kelley Blue Book☆15Aug 17, 2013Updated 13 years ago
- a 666-byte, public domain SKI combinator calculus evaluator in C, minsky machines and other stuff☆12Jan 12, 2021Updated 5 years ago
- Just some light reading.☆22Jan 22, 2020Updated 6 years ago
- Advents of Code in Dyalog APL☆10Jan 19, 2024Updated 2 years ago
- Deep Learning with Positive and Unlabeled samples☆54Sep 7, 2017Updated 9 years ago
- Notebook and examples related to La Manno and Gyllborg et al. 2016☆17Mar 4, 2017Updated 9 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.
- The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017☆28Jul 3, 2017Updated 9 years ago
- Pool-based active learning in Python☆791Aug 21, 2026Updated last month
- Variational inference for Bayesian logistic regression☆13Aug 30, 2019Updated 7 years ago
- Efficient Learning Interpretable Shapelets for Accurate Time Series Classification, ICDE 2018☆14Feb 23, 2018Updated 8 years ago
- Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)☆10Mar 3, 2022Updated 4 years ago
- ☆13Updated this week
- This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017☆88May 17, 2022Updated 4 years ago