Best TensorFlow Alternatives in 2025
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Unlock AI-driven innovation with Roboflow: Analyze images/videos, streamline data management, and deploy custom models effortlessly. Sign up now!
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Build, share & train ML models with Hugging Face. Simplify workflows, customize models, access datasets, and evaluate performance. Join the AI community now!
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Power up your deep learning with the Microsoft Cognitive Toolkit (CNTK). Build models efficiently, optimize parameters, and save time with CNTK's automatic differentiation and distributed capabilities. Use it for image recognition, NLP, and machine translation.
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txtai is an all-in-one AI framework for semantic search, LLM orchestration and language model workflows.
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Build better models and generative AI apps on a unified, end-to-end,open source MLOps platform
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Unlock powerful AI capabilities with the Full Stack AI Developer Platform. Build, deploy, and manage AI models for various applications. Revolutionize industries like e-commerce, autonomous vehicles, content moderation, medical imaging analysis, and creative editing tools.
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Caffe is a deep learning framework made with expression, speed, and modularity in mind.
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A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language.
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Metaflow is a human-friendly Python library that makes it straightforward to develop, deploy, and operate various kinds of data-intensive applications, in particular those involving data science, ML, and AI.
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Discover the power of Keras: an API designed for human beings. Reduce cognitive load, enhance speed, elegance, and deployability in Machine Learning apps.
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Discover the future of digital innovation with our AI-based software. Revolutionize your digital experience with customizable interface and cross-platform compatibility.
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TensorZero: The open-source, unified LLMOps stack. Build & optimize production-grade LLM applications with high performance & confidence.
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Tensorlake Cloud is a platform for document ingestion and data orchestration. Parse real-world documents with human-like layout understanding and build Python-based workflows at scale and ready for production.
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Langflow is an open-source Python framework for building multi-agent & RAG apps. With a visual IDE, free cloud service, and model agnostic design, it empowers developers and non-coders alike.
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Transformer Lab: An open - source platform for building, tuning, and running LLMs locally without coding. Download 100s of models, finetune across hardware, chat, evaluate, and more.
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Ongoing research training transformer models at scale
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Unleash AI power without code! AI-Flow lets you visually build & automate custom AI workflows. Integrate 1000+ models easily. Your AI command center.
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AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
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TensorPool is the easiest way to execute ML jobs in the cloud for >50% cheaper. No infrastructure setup needed, just one command to use cloud GPUs.
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Miniflow: Your no-code platform to build custom AI workflows & apps. Connect diverse AI tools visually & automate tasks with ease.
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scikit-learn: The essential Python toolkit for machine learning. Simple, powerful tools for predictive data analysis & building models.
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VoltaML Advanced Stable Diffusion WebUI，Easy to use, yet feature-rich WebUI with easy installation. By community, for community.
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Simplify AI workflow development with Magicflow's user-friendly interface. No coding required. Optimize for faster, cost-effective workflows. Get started now!
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Simple ML for Sheets is an add-on for Google Sheets™ from the TensorFlow™ Decision Forests team that helps make machine learning accessible to all.
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A new way to automatically train, evaluate and deploy state-of-the-art Machine Learning models.
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KTransformers, an open - source project by Tsinghua's KVCache.AI team and QuJing Tech, optimizes large - language model inference. It reduces hardware thresholds, runs 671B - parameter models on 24GB - VRAM single - GPUs, boosts inference speed (up to 286 tokens/s pre - processing, 14 tokens/s generation), and is suitable for personal, enterprise, and academic use.
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EnergeticAI: Fast, compact, and pre-trained models for Node.js apps. Power up your development with seamless AI integration.
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Create AI-powered mobile apps easily with PlayTorch. It integrates vision and language models on-device, offers cross-platform compatibility, and saves development time.
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The course teaches you about applying Transformers to various tasks in natural language processing and beyond.
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Tesseract OCR: Open-source, high-accuracy engine for developers. Extract text from images with advanced LSTM, 100+ languages & flexible APIs.