dgl VS BotLibre

Compare dgl vs BotLibre and see what are their differences.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks. (by dmlc)
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dgl BotLibre
4 1
13,018 561
0.8% -0.7%
9.9 6.6
8 days ago about 1 month ago
Python Java
Apache License 2.0 Eclipse Public License 1.0
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.

dgl

Posts with mentions or reviews of dgl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-03.

BotLibre

Posts with mentions or reviews of BotLibre. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-03.

What are some alternatives?

When comparing dgl and BotLibre you can also consider the following projects:

pytorch_geometric - Graph Neural Network Library for PyTorch

learn - Neuro-symbolic interpretation learning (mostly just language-learning, for now)

pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

torchdrug - A powerful and flexible machine learning platform for drug discovery

DKPro Core - Collection of software components for natural language processing (NLP) based on the Apache UIMA framework.

spektral - Graph Neural Networks with Keras and Tensorflow 2.

deodel - A mixed attributes predictive algorithm implemented in Python.

deep_gcns_torch - Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

simplenlg - Java API for Natural Language Generation. Originally developed by Ehud Reiter at the University of Aberdeen’s Department of Computing Science and co-founder of Arria NLG. This git repo is the official SimpleNLG version.

SuperGluePretrainedNetwork - SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

sematle - NLU service that converts plain English to known and structured data.