Model Training

Machine learning platform for managing model training, experimentation, and deployment at scale on Kubernetes.

Open source realtime full-duplex voice AI research model from Kyutai.

Open-source model hub by Alibaba with text-to-video generation models and AI development tools.

Data-centric AI platform with synthetic data generation and data quality tools for improving ML development.

Creators of YOLO object detection models providing state-of-the-art real-time computer vision for developers.

Korean AI data labeling platform for model training.

Open-source analytics platform for creating data science workflows with visual programming and ML capabilities.

Platform for building and training deep learning models with PyTorch Lightning and distributed cloud compute.

On-demand GPU cloud for AI model training and inference workloads.

Data science platform providing visual workflow design for data preparation, machine learning, and model deployment.

Feature store platform for ML engineers to simplify data retrieval for machine learning.

Open-source Python library for classical machine learning algorithms with consistent API and extensive documentation.

Computer vision developer platform for building, training, and deploying object detection and image classification models.

No-code computer vision platform for annotating, training, and deploying visual AI models from a web interface.

Open-source ML framework by Google for building and deploying deep learning and traditional ML models.

Open source AI platform for building, evaluating, and deploying foundation models.

Japanese data science training and analytics platform for enterprises.

High-level deep learning API running on TensorFlow for fast experimentation with neural network architectures.