
TFLearn - Alternatives & Competitors
Deep learning library featuring a higher-level API for TensorFlow
TFLearn is a modular and transparent deep learning library built on top of Tensorflow, designed to provide a higher-level API to facilitate and speed-up experimentations.
Ranked by Relevance
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1
TensorFlow An End-to-End Open Source Machine Learning Platform
TensorFlow is an open-source platform for machine learning. It provides a comprehensive ecosystem of tools, libraries, and resources for building and deploying ML models.
- Free
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2
Keras Simple. Flexible. Powerful.
Keras is a deep learning API, designed for human beings, that provides a clear and consistent way to build and deploy machine learning models. It offers cross-framework compatibility with JAX, TensorFlow, and PyTorch.
- Free
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3
Neuralhub Design Deep Neural Networks in a Collaborative Playground
Neuralhub is a comprehensive platform for building, tuning, and experimenting with neural networks, offering tools and resources for AI enthusiasts, researchers, and engineers in a collaborative environment.
- Freemium
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4
Labml Neural Networks Annotated PyTorch Implementations of Neural Networks and Algorithms
Labml Neural Networks offers a collection of simple, well-documented PyTorch implementations of various neural networks and algorithms, designed for better understanding.
- Free
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5
NeuroCraft Neural Networks, Redefined: Design, Train, Deploy, Effortlessly
NeuroCraft is a comprehensive neural network platform that enables users to design, train, and deploy machine learning models through an intuitive drag-and-drop interface.
- Freemium
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6
Deep Infra Fast ML Inference, Simple API
Deep Infra is a serverless ML platform offering access to top AI models through a simple API, with pay-per-use pricing and automatic scaling capabilities.
- Usage Based
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7
PyTorch An open source machine learning framework for research and production.
PyTorch is an open-source machine learning framework facilitating the transition from research prototyping to production deployment, featuring distributed training and a robust ecosystem.
- Free
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