CS PhD student working on systems for ML workflows.
- San Francisco, CA
MLOps framework for continual training & monitoring.
Drift detection module for machine learning pipelines.
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
Template Makefile for ML projects in Python.
A reactive Python kernel for Jupyter notebooks.
Coarse-grained lineage and tracing for machine learning pipelines.
850 contributions in the last year
Contributed to dm4ml/motion, dm4ml/gate, dm4ml/autoprompt and 11 other repositories
Created 92 commits in 4 repositories
Opened 10 pull requests in 1 repository
Created an issue in dm4ml/motion that received 2 comments
We can write the execution in Modal, so multiple infer / fit routes can run in parallel.
Deploy infer and fit functions with
Opened 7 other issues in 3 repositories
90 contributions in private repositories May 3 – May 29