conda-forge/staged-recipes
Apr 2026 – Apr 2026
1 Month active
Languages Used
YAML
Technical Skills
PythonPython developmentcommand line interfacedata processingmachine learningpackage management
Tom Gale
PROFILE
Tom Gale
Contributed foundational machine learning tooling to the conda-forge/staged-recipes repository, focusing on accelerating model training and data processing workflows. Developed and introduced the initial version of Anemoi ML Recipes, covering datasets, graphs, inference, models, registry, training, transform, and utility modules. Enhanced the anemoi-training package by adding profiling and training entry points, enabling performance analysis and streamlined end-to-end model training. Utilized Python and YAML to implement these features, emphasizing command line interface design and package management. Ensured repository stability by re-running continuous integration checks, validating the correctness of recent changes and maintaining a reliable development environment for future contributions.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
527
Activity Months1
Your Network
905 peopleSame Organization
@bom.gov.au3
Shared Repositories
902
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Work History
April 2026
3 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for conda-forge/staged-recipes. Delivered foundational ML tooling and stability improvements to accelerate model training and data processing workflows. Implemented Anemoi ML Recipes with a v0 format across datasets, graphs, inference, models, registry, training, transform, and utils. Extended Anemoi-Training with profiling and training entry points to enable performance analysis and end-to-end model training. Performed CI re-run to validate correctness and stability after changes. Key commits include 7173d24a01e14658eeb46b8bb72ff2c4271bc90a, 41b3c9bddc34d878aab8bfe6aa81b129f9c5924d, and 8054b50645b49afb14b47f728352769992d7a461.
3 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for conda-forge/staged-recipes. Delivered foundational ML tooling and stability improvements to accelerate model training and data processing workflows. Implemented Anemoi ML Recipes with a v0 format across datasets, graphs, inference, models, registry, training, transform, and utils. Extended Anemoi-Training with profiling and training entry points to enable performance analysis and end-to-end model training. Performed CI re-run to validate correctness and stability after changes. Key commits include 7173d24a01e14658eeb46b8bb72ff2c4271bc90a, 41b3c9bddc34d878aab8bfe6aa81b129f9c5924d, and 8054b50645b49afb14b47f728352769992d7a461.
April 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAML
Technical Skills
PythonPython developmentcommand line interfacedata processingmachine learningpackage management
Repositories Contributed To
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