Repository Issues
HashSlap-Summer-of-Code/ml-core
ml-core is a community-driven, Python-based machine learning repository structured into specialized domains like computer vision, NLP, time series, and more. It serves as a curated hub for projects, notebooks, and model implementations — ideal for learning, collaboration, and contribution.
Issues
Open
Build a Plugin-Based Architecture for ML Algorithm Extensions
Advancedenhancementhacktoberfesthssoc
No assignee yetNo comments yetHas a beginner-friendly labelContributing guide available
0 comments0 reactions0 assignees
Open
Implement Modular AutoML System for Model Selection and Tuning
Advancedenhancementhacktoberfesthssoc
Why recommendedNo assignee yet · No comments yet
No assignee yetNo comments yetHas a beginner-friendly labelContributing guide available
0 comments0 reactions0 assignees
Open
Standardize Dataset Handling Across All ML Modules
Intermediateenhancementgood first issuehacktoberfesthssoc
Why recommendedNo assignee yet · No comments yet
No assignee yetNo comments yetHas a beginner-friendly labelContributing guide available
0 comments0 reactions0 assignees
Open
Implement a Cross-Domain ML Benchmark Suite
Intermediateenhancementhacktoberfesthssoc
Why recommendedNo assignee yet · No comments yet
No assignee yetNo comments yetHas a beginner-friendly labelContributing guide available
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Open
Create a Comprehensive ML Tutorial Series
Intermediateenhancementhacktoberfesthssoc
Why recommendedHas a beginner-friendly label · Contributing guide available
Has a beginner-friendly labelContributing guide available
2 comments0 reactions1 assignee
Open
Design a Unified ML Experiment Tracking Framework
Intermediateenhancementgood first issuehacktoberfesthssoc
Why recommendedNo assignee yet · No comments yet
No assignee yetNo comments yetHas a beginner-friendly labelContributing guide available
0 comments0 reactions0 assignees