microsoft / IcebreakerLinks
This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebreaker: Efficient Information Acquisition with Active Learning Conference on Neural Information Processing Systems (NeurIPS 2019)
☆44Updated 6 years ago
Alternatives and similar repositories for Icebreaker
Users that are interested in Icebreaker are comparing it to the libraries listed below
Sorting:
- SPEAR: Programmatically label and build training data quickly.☆109Updated last year
- ☆30Updated 4 years ago
- Python implementation of GLN in different frameworks☆96Updated 5 years ago
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆164Updated 7 months ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆76Updated 3 years ago
- A few baselines with a standard tabular model☆38Updated 5 years ago
- This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)☆60Updated 7 years ago
- Multivariate Boosted TRee☆63Updated 3 years ago
- Strategies to deploy deep learning models☆27Updated 7 years ago
- General Interpretability Package☆58Updated 3 years ago
- Automatic Machine Learning (AutoML) for Wave Apps☆32Updated 2 years ago
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…☆29Updated 2 years ago
- Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.☆31Updated 3 years ago
- GAM (Global Attribution Mapping) explains the landscape of neural network predictions across subpopulations☆35Updated 2 weeks ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 4 years ago
- The stand-alone training engine module for the ALOHA.eu project.☆15Updated 6 years ago
- A neural network hyper parameter tuner☆30Updated 2 years ago
- NeuralPy: A Keras like deep learning library works on top of PyTorch☆79Updated last year
- Measure and visualize machine learning model performance without the usual boilerplate.☆99Updated last year
- Experiment orchestration☆103Updated 5 years ago
- ☆64Updated 7 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆48Updated 5 years ago
- Functional deep learning☆108Updated 3 years ago
- Data Twinning☆25Updated 3 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 5 months ago
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- Variational inference for hierarchical dynamical systems☆50Updated last year
- Hyperparameter tuning via uncertainty modeling☆49Updated last year
- ☆70Updated 5 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago