Embeddinghub
MindsDB
Lionbridge
Zetane Systems
Adimen
Tamr
SuperDuperDB
Deepnote
Dataiku
Scikit-learn
Pandas
NumPy
OpenCV
Exploratory
htm.java
WEKA
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Based on our record, Embeddinghub seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Featureform is a virtual feature store. It enables data scientists to define, manage, and serve their ML model's features. Featureform sits atop your existing infrastructure and orchestrates it to work like a traditional feature store. By using Featureform, a data science team can solve the organizational problems:. Source: almost 2 years ago
Usually embeddings — dense numerical representations of real-world objects and relationships, expressed as a vector — are stored in database servers such as PostgreSQLEmbedding. However Embeddinghub makes it easier to store your embeddings and load them. You can get started with minimal setup, and it also makes your code look less verbose as compared to, say, building a KNN model using scikit-learn. - Source: dev.to / about 2 years ago
MindsDB - We are an open-source project that enables you to do Machine Learning using SQL directly from the Database.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Lionbridge - Translation productivity platform
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Zetane Systems - Powerful software for AI in business & industry
NumPy - NumPy is the fundamental package for scientific computing with Python