onnx-models VS FLaNK-Ice

Compare onnx-models vs FLaNK-Ice and see what are their differences.

onnx-models

A copy of ONNX models, datasets, and code all in one GitHub repository. Follow the README to learn more. (by xetdata)

FLaNK-Ice

Apache Iceberg - Cloud Data Lakehouse (by tspannhw)
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onnx-models FLaNK-Ice
5 8
106 1
1.9% -
5.5 6.0
6 months ago 5 months ago
Jupyter Notebook
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

onnx-models

Posts with mentions or reviews of onnx-models. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-02.

FLaNK-Ice

Posts with mentions or reviews of FLaNK-Ice. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-08.

What are some alternatives?

When comparing onnx-models and FLaNK-Ice you can also consider the following projects:

FLaNK-SaoPauloBrazil - FLaNK-SaoPauloBrazil

OpenVoice - Instant voice cloning by MyShell.

narrator - David Attenborough narrates your life

table-transformer - Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.

velox - A C++ vectorized database acceleration library aimed to optimizing query engines and data processing systems.

meditron - Meditron is a suite of open-source medical Large Language Models (LLMs).

voyager - 🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

LLMCompiler - [ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling

FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...

mlx-examples - Examples in the MLX framework