microsoft / FeatureBroker
A library for collecting features and performing inference of machine learning evaluations based on those features, useful especially in situations where the feature publishing software components are strongly decoupled from the software components that wish to exploit those features in machine learning models.
☆12Updated 4 years ago
Alternatives and similar repositories for FeatureBroker:
Users that are interested in FeatureBroker are comparing it to the libraries listed below
- [Deprecated]: Exploration library☆16Updated last year
- Tools for generating synthetic document corpora☆13Updated last year
- Asynchronous Stochastic Gradient Descent with Delay Compensation☆21Updated 7 years ago
- Exploration Library in Java☆12Updated last year
- Generic batch processing framework for managing the orchestration, dispatch, fault tolerance, and monitoring of arbitrary work items agai…☆28Updated 7 months ago
- Exploration Library in C++☆15Updated last year
- Inverted file indexing and retrieval optimized for short texts. Supports auto-suggest and query segment classification.☆34Updated last year
- Implementation of QuadSketch algorithm☆11Updated 2 years ago
- Sketching linear classifiers over data streams with the Weight-Median Sketch (SIGMOD 2018).☆38Updated 6 years ago
- A platform for online learning that curtails data latency and saves you cost.☆47Updated 3 years ago
- Samples for partner application development (OEM, MO, IHV) for Window☆17Updated last year
- CorrelationVector-Cpp provides a reference C++ implementation of the CorrelationVector protocol for tracing and correlation of events thr…☆17Updated 2 years ago
- Running the most popular deep learning frameworks on Azure Batch AI☆24Updated last year
- Proximal Asynchronous SAGA☆12Updated 7 years ago
- Python bindings for libNVVM☆37Updated 10 years ago
- Jubatus algorithm component☆20Updated 5 years ago
- Python functions for popular relevance metrics (ndcg, err, etc)☆16Updated last year
- Empirical Likelihood for Contextual Bandits☆12Updated 4 years ago
- Fine-Grained Distributed Computing☆11Updated 9 years ago
- An experimental distributed execution engine☆22Updated 4 years ago
- d-GLMNET: Distributed Coordinate Descent for Generalized Linear Models with Regularization☆9Updated 7 years ago
- agogosml is a flexible data processing pipeline that addresses the common need for operationalizing ML models at scale☆33Updated 5 years ago
- Moments Sketch Code☆40Updated 6 years ago
- Tutorials on running distributed deep learning on Batch AI☆23Updated 6 years ago
- A framework for building reranking models.☆28Updated 9 years ago
- Sample implementations using Naiad☆38Updated 10 years ago
- Recommendations Serving Engine using python☆28Updated 9 years ago
- A JSON-based schema for storing declarative descriptions of machine learning experiments☆45Updated 7 years ago
- Neural Network engine for Veles distributed machine learning platform☆26Updated 8 years ago
- MISSION: Ultra Large-Scale Feature Selection using Count-Sketches☆13Updated 5 years ago