|
|
@@ -620,6 +620,10 @@
|
|
|
10. [Determined](https://github.com/determined-ai/determined) - Deep learning training platform with integrated support for distributed training, hyperparameter tuning, smart GPU scheduling, experiment tracking, and a model registry.
|
|
|
11. [DAGsHub](https://dagshub.com/) - Community platform for Open Source ML – Manage experiments, data & models and create collaborative ML projects easily.
|
|
|
12. [hub](https://github.com/activeloopai/Hub) - Fastest unstructured dataset management for TensorFlow/PyTorch by activeloop.ai. Stream & version-control data. Converts large data into single numpy-like array on the cloud, accessible on any machine.
|
|
|
+13. [DVC](https://dvc.org/) - DVC is built to make ML models shareable and reproducible. It is designed to handle large files, data sets, machine learning models, and metrics as well as code.
|
|
|
+14. [CML](https://cml.dev/) - CML helps you bring your favorite DevOps tools to machine learning.
|
|
|
+15. [MLEM](https://mlem.ai/) - MLEM is a tool to easily package, deploy and serve Machine Learning models. It seamlessly supports a variety of scenarios like real-time serving and batch processing.
|
|
|
+
|
|
|
|
|
|
### Miscellaneous
|
|
|
|
Chaitanya Prakash Bapat