Found 9 results for “Data Science”
Lightning AI is a development framework for building and deploying models and full-stack AI applications, providing capabilities such as training, serving, and hyperparameter optimization to help developers reduce infrastructure configuration work.
AI Surge Cloud is an enterprise-oriented data and decision intelligence platform that supports building ModelOps and data applications in a low-code or no-code way, and can be deployed in private cloud, public cloud, or hybrid cloud environments.
Moonbeam Exchange is a data science platform
Gradio is a lightweight Python library for quickly creating interactive web interfaces for machine learning models. Developers can use it to showcase, test, and share models, and it can also be embedded in Notebooks.
Hex is a modern data platform for data science and analytics work, combining collaborative notebooks, data app building capabilities, and enterprise-grade security features to support teams in completing analysis tasks together.
Pipeline AI is a serverless GPU inference platform for machine learning models, supporting per-millisecond billed API calls and suitable for deploying models to run in production environments.
Kaggle is a globally well-known online data science and machine learning community platform, famous for hosting data science competitions and attracting data scientists and machine learning enthusiasts from around the world. Kaggle provides abundant dataset resources, which users can download and use for research and learning free of charge.
AskCodi is an AI-based code generation assistant that can theoretically help you complete any coding task. From generating code to explaining the logic behind code, from developing WordPress websites to creating an application, and even refactoring your existing code, Codi can be your companion throughout your entire coding journey.
Label Studio is an open-source data labeling platform launched by Human Signal (formerly Heartext). The project has nearly 14,000 stars on GitHub and can help developers fine-tune large language models, prepare training data, or validate AI models.