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Alternatives to cuml-machine-learning

cuml-machine-learning is an agent skill by langchain-ai: Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML. If it doesn't fit your setup, these 12 agent skills cover similar ground. They are ordered by how closely they match cuml-machine-learning and by our rank, which weighs adoption, freshness and documentation; money never changes the order. ai-pipeline-orchestration leads the list (largest repository here (48,428 stars); active in the last 30 days). 1 of them is published by the company behind the product. Each entry shows data reasons to switch, and you can open a side-by-side comparison with cuml-machine-learning.

Updated Oct 26, 2026 · Built from catalog data; how we rank and grade

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cuml-machine-learning

Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML.

12 alternatives

Ordered by how closely each matches cuml-machine-learning (shared product, category or stated alternative) and by rank.

  1. 1

    Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster.

    • Largest repository here (48,428 stars)
    • Active in the last 30 days

    ★ 48.4KLast active Oct 24, 2026Claude Code, Claude apps, Codex, Cursor +6

  2. 2
    trl-training

    huggingfaceOfficial

    Post-train LLMs with TRL (Transformers Reinforcement Learning) — SFT, DPO, GRPO, KTO, and reward-model training.

    • Published by the vendor
    • Repository has 11.2K stars

    ★ 11.2KLast active Oct 1, 2026Claude Code, Claude apps, Codex, Cursor +6

  3. 3
    nvflare-convert-pytorch

    NVIDIA FLARE Team <federatedlearning@nvidia.com>

    Convert existing plain or manual PyTorch training code into an NVFLARE federated job using Client API model exchange, local validation, and job export; use…

    • Supports Python

    ★ 3.7KLast active Oct 8, 2026Claude Code, Claude apps, Codex, Cursor +6

  4. 4
    nvflare-convert-lightning

    NVIDIA FLARE Team <federatedlearning@nvidia.com>

    Convert existing PyTorch Lightning training code into an NVFLARE federated job using the Lightning Client API patch, local validation, and job export; use…

    • Supports Python

    ★ 3.7KLast active Oct 8, 2026Claude Code, Claude apps, Codex, Cursor +6

  5. 5
    codonfm-finetune

    NVIDIA BioNeMo <bionemofeedback@nvidia.com>

    Fine-tune public CodonFM Encodon checkpoints on labeled coding-sequence or coding-variant data using LoRA, head-only, or full fine-tuning.

    • Supports Python

    ★ 3.7KLast active Oct 9, 2026Claude Code, Claude apps, Codex, Cursor +6

  6. 6
    cdf-anomalygen

    NVIDIA <nvidia@nvidia.com>

    Use when running the CDF AnomalyGen pipeline over a defect dataset — mask placement, fine-tuning, synthetic defect-image generation (SDG), evaluation, quality…

    • Repository has 3.7K stars
    • Active in the last 30 days

    ★ 3.7KLast active Oct 21, 2026Claude Code, Claude apps, Codex, Cursor +6

  7. 7

    Used for finetuning NV-Generate-CTMR MR-Brain v1 for T1, T2, FLAIR, SWI, or MRA data from a NIfTI datalist.

    • Supports Python

    ★ 3.7KLast active Sep 15, 2026Claude Code

  8. 8

    Real-time depth map privacy transforms using Depth Anything v2 (CoreML + PyTorch)

    • Supports JavaScript and bash

    ★ 3.1KLast active Sep 17, 2026Claude Code, Claude apps, Codex, Cursor +6

  9. 9

    Use when you need a runnable PyTorch training repo for a medical-imaging task (segmentation, classification, detection, synthesis, self-supervised, or…

    • Supports Python and bash

    ★ 349Last active Oct 4, 2026Claude Code, Claude apps, Codex, Cursor +6

  10. 10
    nv-generate-vae-finetune

    NVIDIA MedTech Team

    Used for finetuning the NV-Generate-CTMR MAISI VAE from CT/MRI NIfTI datalists.

    • Supports Python

    ★ 3.7KLast active Jul 8, 2026Claude Code, Claude apps, Codex, Cursor +6

  11. 11
    nv-segment-ct-finetune

    NVIDIA MedTech <noreply@nvidia.com>

    Runs standard or fixed-channel softmax finetuning of NV-Segment-CT VISTA3D on CT NIfTI image/label datasets, with optional MONAI-native MLflow tracking and…

    • Supports Python

    ★ 3.7KLast active Sep 15, 2026Claude Code

  12. 12

    Installs or verifies AMD Quark and ensures the selected Python environment has an accelerator-matched PyTorch.

    • Active in the last 30 days
    • Open source (MIT)

    ★ 465Last active Oct 1, 2026Claude Code, Claude apps, Codex, Cursor +6