Best model training tools in 2025

PlaidML

Framework for accessible deep learning across devices.

Caret

A comprehensive framework for predictive modeling in R.

PyCaret

A low-code library for building machine learning models effortlessly.

Amazon SageMaker Ground Truth

Generates high-quality labels for machine learning datasets.

DeepDetect

User-friendly interface for training deep learning models.

Reformer

Advanced framework for efficient long-sequence data processing.

RGX Tools

Generate regex patterns by simply describing your needs.

SuperAnnotate

Centralized data annotation solution for efficient AI projects.

PyTorch

Framework for building dynamic neural networks and computations.

Txyz.ai

A platform for discovering and managing academic research efficiently.

Appen

Data solutions that enhance advanced AI model performance.

Float16

Cloud-based GPU computing for effortless AI deployment.

Albumentations

Image augmentation library for enhancing datasets in deep learning.

Gradient

Streamlined environment for developing and deploying AI models.

Labelbox

Collaborative data labeling for machine learning projects.

RegExr

Interactive platform for learning and testing regular expressions.

Venice.ai

Create and innovate with advanced, private AI models.

GPUX.AI

Rapidly deploy and manage AI models without server hassles.

Intel OpenVINO

Accelerates AI model deployment across platforms with reduced latency.

Modelfusion

Access multiple AI models seamlessly in one application.

Deepnote AI

AI-driven data notebooks for seamless analysis and collaboration.

ImageNet

Vast image database for AI and machine learning research.

Golden

Organize and manage knowledge efficiently in custom workspaces.

Shell2

An interactive data management and analysis environment.

Baseten

Deploy AI models quickly and efficiently without technical hurdles.