determined-ai / yogadlLinks
yogadl, the flexible data layer
☆74Updated 2 years ago
Alternatives and similar repositories for yogadl
Users that are interested in yogadl are comparing it to the libraries listed below
Sorting:
- Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era.☆205Updated 5 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- Python client for RedisAI☆88Updated 2 years ago
- A modular system for machinable research code☆35Updated 6 months ago
- Inferring Python API signatures from tracing usage.☆75Updated 4 years ago
- Data and tooling to compare the API surfaces of various array libraries.☆56Updated 3 months ago
- Practical active learning in python☆191Updated 3 years ago
- MLOps Python Library☆120Updated 3 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆99Updated last year
- An ML framework to accelerate research and its path to production.☆267Updated last year
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆53Updated last year
- dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.☆59Updated 4 years ago
- Placeholder for the opensource Grid AI components☆44Updated 3 years ago
- Version control for software 2.0☆65Updated 4 years ago
- Experiment tracking for machine and deep learning projects☆128Updated last year
- A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges☆63Updated 3 years ago
- Distributed skorch on Ray Train☆58Updated 3 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆187Updated 6 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆84Updated last year
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated last year
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆95Updated last year
- A fast way to turn your python function into a script☆164Updated 3 years ago
- Streamlined machine learning experiment management.☆107Updated 5 years ago
- A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-…☆66Updated 2 years ago
- DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)☆206Updated 3 years ago
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 4 years ago
- Process, visualize and use data easily.☆20Updated 2 years ago
- FlorDB 🌻☆153Updated last week
- An Aspiring Drop-In Replacement for Pandas at Scale☆74Updated 4 years ago
- spock is a framework that helps manage complex parameter configurations during research and development of Python applications☆141Updated last year