txn2 / datalabLinks
Custom JupyterLab container for local-workstations and in-cluster Kubernetes Data Science, Machine Learning and IoT.
☆12Updated 6 years ago
Alternatives and similar repositories for datalab
Users that are interested in datalab are comparing it to the libraries listed below
Sorting:
- ☆92Updated 5 years ago
- A Pachyderm deep learning tutorial for conference workshops☆19Updated 8 years ago
- Comet-For-MLFlow Extension☆66Updated last month
- ☆25Updated 2 years ago
- Willump Is a Low-Latency Useful Machine learning Platform.☆45Updated 2 years ago
- Distributed Bayesian Optimization☆23Updated 5 years ago
- Common API for all "second gen" AutoML APIs: Auger.AI, Google Cloud AutoML and Azure AutoML☆41Updated 10 months ago
- A forest that is fast☆41Updated 6 years ago
- Talks about vaex☆36Updated 2 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 7 years ago
- [ARCHIVED] Dask support for multi-GPU machine learning algorithms --> Moved to cuml☆16Updated 6 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.☆73Updated last year
- Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization☆16Updated 6 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
- Pyro models and misc examples.☆19Updated 4 years ago
- PyMC3-like Interface for Pyro☆38Updated 5 years ago
- asv benchmarks for dask projects☆18Updated 3 years ago
- JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment☆31Updated 6 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆18Updated 7 years ago
- Code for tutorials and examples☆67Updated 2 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 5 years ago
- The stand-alone training engine module for the ALOHA.eu project.☆15Updated 6 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
- Comparison of automatic machine learning libraries☆28Updated 7 years ago
- A collection of utilities for writing labeling functions, transformation functions, and slicing functions.☆22Updated 5 years ago
- Tiny Dask Docker images based on Alpine Linux☆17Updated 6 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 3 years ago
- A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")☆40Updated 6 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago