Fine-tuning

Paperspace Gradient

Fine-tuning · Bring-your-own (PyTorch, TensorFlow, Hugging Face)

7.2

End-to-end MLOps platform with GPU notebooks, training jobs, and model deployment, now folded into DigitalOcean.

H2O AutoML

Fine-tuning · H2O-3 (GBM, XGBoost, GLM, DRF, Deep Learning, Stacked Ensembles)

7.1

Open-source automated machine learning that handles feature engineering, model selection, and stacked ensembling out of the box.

Scale GenAI Platform

Fine-tuning · Multi-model (OpenAI, Google, Meta, Mistral)

7.1

Enterprise agent platform from Scale AI that connects your data, orchestrates multi-agent workflows, and learns from human feedback inside your own VPC.

W&B Sweeps

Fine-tuning · Multi-model (Llama, DeepSeek, Qwen, Kimi)

7.1

Hyperparameter optimization from Weights & Biases with Bayesian search and Hyperband early stopping.

Forefront

Fine-tuning · Multi-model (Mistral-7B, Mixtral, Phi-2)

7.0

Fine-tune and serve open-source LLMs on your own data without managing GPUs.

ONNX

Fine-tuning

7.0

Open standard for representing and exchanging machine learning models across frameworks and runtimes.

Apache SINGA

Fine-tuning

6.9

Apache-licensed distributed deep learning library focused on scalable training across GPUs and nodes.

DagsHub

Fine-tuning

6.8

GitHub-style collaboration platform for ML datasets, experiments, and models with MLflow and DVC under the hood.

Velda

Fine-tuning

6.7

Serverless GPU orchestration that runs AI training and batch jobs without Docker or Kubernetes.

AutotuneLLM

Fine-tuning

An open-source optimization layer that sits between your app and Ollama to squeeze more performance out of local LLMs.

Colossal-AI

Fine-tuning · Framework-agnostic; used with LLaMA, GPT, Stable Diffusion, ViT, and other PyTorch-based open-weight models

Making large AI models cheaper, faster, and more accessible through distributed training

Language Model Builder

Fine-tuning · In-house small transformer models trained by the user; exports to safetensors

Learn how LLMs work by building one on your Mac

PyTorch Lightning

Fine-tuning · Framework-agnostic — trains any PyTorch model (transformers, CNNs, diffusion, RL nets, etc.)

The deep learning framework for professional AI researchers and ML engineers