stanford-futuredata / WillumpLinks
Willump Is a Low-Latency Useful Machine learning Platform.
☆44Updated 2 years ago
Alternatives and similar repositories for Willump
Users that are interested in Willump are comparing it to the libraries listed below
Sorting:
- PyTorch Flexible Hash Embeddings☆28Updated 5 years ago
- NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…☆43Updated 4 years ago
- Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.☆42Updated 2 years ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago
- Machine Learning Inference Graph Spec☆21Updated 5 years ago
- demos for PyBay talk: Using Randomness to make code faster☆51Updated 7 years ago
- A platform for online learning that curtails data latency and saves you cost.☆47Updated 3 years ago
- A curated list of articles, papers and tools for managing the building and deploying of machine learning models, aka machine learning eng…☆18Updated 6 years ago
- Deep exponential family models in MXNet/Gluon. Layers o' latents 💤☆17Updated 7 years ago
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆52Updated last year
- A benchmark to measure performance of popular Gradient boosting algorithms against popular ML datasets.☆38Updated 2 years ago
- KDD Hands-On Tutorial (2018)☆29Updated 2 years ago
- ☆23Updated 4 years ago
- Streamlined machine learning experiment management.☆107Updated 5 years ago
- The stand-alone training engine module for the ALOHA.eu project.