stanford-futuredata / WillumpLinks
Willump Is a Low-Latency Useful Machine learning Platform.
☆45Updated 2 years ago
Alternatives and similar repositories for Willump
Users that are interested in Willump are comparing it to the libraries listed below
Sorting:
- NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…☆43Updated 4 years ago
- FlorDB 🌻☆157Updated 2 months ago
- PyTorch Flexible Hash Embeddings☆28Updated 5 years ago
- A curated list of articles, papers and tools for managing the building and deploying of machine learning models, aka machine learning eng…☆19Updated 7 years ago
- Streamlined machine learning experiment management.☆108Updated 5 years ago
- Randomized SVD of large sparse matrices on Spark☆77Updated 3 years ago
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆53Updated 2 years ago
- KDD Hands-On Tutorial (2018)☆29Updated 3 years ago
- Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.☆155Updated 7 years ago
- Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.☆41Updated 2 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 4 years ago
- A Scalable Auto-ML System☆55Updated 2 years ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago
- Better, faster hyper-parameter optimization☆113Updated last year
- Experiment tracking for machine and deep learning projects☆128Updated 2 years ago
- Playing with various deep learning tools and network architectures☆70Updated 8 years ago
- The stand-alone training engine module for the ALOHA.eu project.☆15Updated 6 years ago
- Python application to setup and run streaming (contextual) bandit experiments.☆83Updated 3 months ago
- Distribution transparent Machine Learning experiments on Apache Spark☆91Updated last year
- A deep ranking personalization framework☆133Updated last week
- Feature-Time Instability Metric☆44Updated 9 years ago
- ☆40Updated 9 years ago
- Examples of building probabilistic models with MXNet linear algebra operators☆23Updated 8 years ago
- Yggdrasil: Faster Decision Trees Using Column Partitioning in Spark☆30Updated 7 years ago
- Context-sensitive ranking and choice in Python with PyTorch☆67Updated 2 years ago
- CSCE 585 - Machine Learning Systems☆39Updated last month
- A primal-dual framework for distributed L1-regularized optimization☆36Updated 9 years ago
- Comet-For-MLFlow Extension☆66Updated 3 weeks ago
- AutoBazaar: An AutoML System from the Machine Learning Bazaar☆33Updated 4 years ago
- Arxiv's ML papers network graph and browser☆80Updated 6 years ago