• Join/Login
  • Business Software
  • Open Source Software
  • For Vendors
  • Blog
  • About
  • More
    • Articles
    • Create
    • SourceForge Podcast
    • Site Documentation
    • Subscribe to our Newsletter
    • Support Request
SourceForge logo
For Vendors Help Create Join Login
SourceForge logo
Business Software
Open Source Software
SourceForge Podcast
Resources
  • Articles
  • Case Studies
  • Blog
Menu
  • Help
  • Create
  • Join
  • Login
  • Home
  • Open Source Software
  • Artificial Intelligence
  • Machine Learning
  • DeeProtGO
  • Files
DeeProtGO

DeeProtGO Files

DeeProtGO is a deep learning model for predicting GO terms of proteins

Brought to you by: gabimerino
  • Summary
  • Files
  • Reviews
  • Support
  • Code
Home / data / raw
Name Modified Size InfoDownloads / Week
Parent folder
trainingNKEukaBPInfo.tab 2021-06-04 9.9 MB
0
benchmarkNKEukaBPInfo.tab 2021-06-04 617.6 kB
0
Totals: 2 Items   10.5 MB 0
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Our Free Plans just got better! | Auth0 Icon
Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Try free now
Recommended Projects
  • ONNX
    ONNX
    ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and...
  • Spektral
    Spektral
    Spektral is a Python library for graph deep learning, based on the Keras API and TensorFlow 2. The main goal of this project is to provide a simple but flexible framework for creating graph neural networks (GNNs). You can use Spektral for classifying the users of a social network, predicting...
  • AutoGluon
    AutoGluon
    AutoGluon enables easy-to-use and easy-to-extend AutoML with a focus on automated stack ensembling, deep learning, and real-world applications spanning image, text, and tabular data. Intended for both ML beginners and experts, AutoGluon enables you to quickly prototype deep learning and...
  • Synapse Machine Learning
    Synapse Machine Learning
    SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. SynapseML builds on Apache Spark and SparkML to enable new kinds of machine learning, analytics, and model deployment workflows. SynapseML adds many deep learning and data...
  • OpenVINO
    OpenVINO
    OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference. Boost deep learning performance in computer vision, automatic speech recognition, natural language processing and other common tasks. Use models trained with popular frameworks like TensorFlow, PyTorch and more....
SourceForge
  • Create a Project
  • Open Source Software
  • Business Software
  • Top Downloaded Projects
Company
  • About
  • Team
  • SourceForge Headquarters
    1320 Columbia Street Suite 310
    San Diego, CA 92101
    +1 (858) 422-6466
Resources
  • Support
  • Site Documentation
  • Site Status
  • SourceForge Reviews
SourceForge logo
© 2025 Slashdot Media. All Rights Reserved.
Terms Privacy Opt Out Advertise
×
Thanks for helping keep SourceForge clean.
X

Briefly describe the problem (required):
Upload screenshot of ad (required):
Select a file, or drag & drop file here.
✔
✘
Screenshot instructions:

Click URL instructions:
Right-click on the ad, choose "Copy Link", then paste here →
(This may not be possible with some types of ads)

More information about our ad policies

Ad destination/click URL: