Discover the best AI Frameworks — from deep learning libraries and natural language processing tools to machine learning platforms, model deployment frameworks, and data pipeline orchestration solutions, this is where developers and data scientists explore software that enhances their workflow: building neural networks, processing text data, deploying machine learning models, and managing data workflows. Browse 158 AI Frameworks spanning Machine Learning Platforms, AI Agent Builders, MLOps & Model Deployment, Machine Learning & Data Science and Natural Language Processing Tools and more.
158 tools
AI Frameworks
Open-source framework for automatic hyperparameter optimization, designed for machine learning. It offers an imperative, define-by-run API and supports…Optuna is an open-source framework for automatic hyperparameter optimization, designed for machine learning. It offers an imperative, define-by-run API and supports…
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The Qualcomm Intelligent Robotics Product SDK is a developer-focused solution that integrates various functional SDKs to simplify and enhance robotics application development. It…
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Scalable machine learning library offering APIs in Java, Scala, Python, and R. It integrates seamlessly with Spark's APIs and supports various data…Apache Spark MLlib is a scalable machine learning library offering APIs in Java, Scala, Python, and R. It integrates seamlessly with Spark's APIs and supports various data…
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Library built on PyTorch, offering a flexible framework for deploying prompt-learning pipelines. It supports pre-trained language models from Hugging Face…OpenPrompt is a library built on PyTorch, offering a flexible framework for deploying prompt-learning pipelines. It supports pre-trained language models from Hugging Face…
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Scalable and flexible gradient boosting framework that supports regression, classification, ranking, and user-defined objectives. It is portable across various…XGBoost is a scalable and flexible gradient boosting framework that supports regression, classification, ranking, and user-defined objectives. It is portable across various…
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HELM is a comprehensive benchmark for evaluating language models, focusing on transparency and reproducibility. It offers multi-metric measurements and broad coverage, with all…
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High-performance deep learning inference SDK that optimizes inference, reduces latency, and delivers high throughput for AI applications across various…NVIDIA TensorRT is a high-performance deep learning inference SDK that optimizes inference, reduces latency, and delivers high throughput for AI applications across various…
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Self-supervised learning framework that enables ML teams to train vision models on unlabeled data, reducing annotation costs and accelerating deployment for…LightlyTrain is a self-supervised learning framework that enables ML teams to train vision models on unlabeled data, reducing annotation costs and accelerating deployment for…
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