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[Research] Add 4 elite-tier projects to Core Frameworks & Libraries#129

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alvinreal merged 2 commits intomainfrom
research/core-frameworks-2026-04-07
Apr 7, 2026
Merged

[Research] Add 4 elite-tier projects to Core Frameworks & Libraries#129
alvinreal merged 2 commits intomainfrom
research/core-frameworks-2026-04-07

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Additions

This PR adds 4 elite-tier open-source AI projects to Category 1 (Core Frameworks & Libraries):

Julia ML Frameworks

  • MLJ.jl - Comprehensive Julia machine learning framework providing a unified interface to 200+ models (2,124 stars, MIT license, pushed 2026-04-07)

Data Processing & Manipulation

  • NVIDIA DALI - GPU-accelerated data loading and augmentation for deep learning (5,300 stars, Apache-2.0, pushed 2026-04-05)
  • Narwhals - Lightweight compatibility layer between DataFrame libraries (1,577 stars, MIT license, pushed 2026-04-06)

Classical ML & Gradient Boosting

  • SynapseML - Distributed machine learning on Apache Spark (5,221 stars, MIT license, pushed 2026-04-07)

Verification

  • ✅ All projects have 1000+ stars
  • ✅ All have OSI-approved licenses
  • ✅ All active within 6 months
  • ✅ None were already listed in README
  • ✅ Validation passed: python3 tools/validate_awesome.py --skip-remote

Additions:
- MLJ.jl: Julia machine learning framework (2.1k stars, MIT)
- NVIDIA DALI: GPU-accelerated data loading (5.3k stars, Apache-2.0)
- Narwhals: DataFrame compatibility layer (1.6k stars, MIT)
- SynapseML: Distributed ML on Spark (5.2k stars, MIT)

All projects verified:
- 1000+ stars
- Active within 6 months
- OSI-approved licenses
@alvinreal alvinreal merged commit 6499a09 into main Apr 7, 2026
2 checks passed
@alvinreal alvinreal deleted the research/core-frameworks-2026-04-07 branch April 7, 2026 08:23
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