typedb-ml VS PaddleHelix

Compare typedb-ml vs PaddleHelix and see what are their differences.

typedb-ml

TypeDB-ML is the Machine Learning integrations library for TypeDB (by vaticle)
Grakn Graql Machine Learning Artificial intelligence ML knowledge-graph Knowledgebase link-prediction relational-learning knowledge-graph-completion graph-convolutional-networks graph-networks neural-network Python Tensorflow Graph Graphs AI geometric-deep-learning

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PaddleHelix

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集 (by PaddlePaddle)
biocomputing Machine Learning Deeplearning rna-structure-prediction dti representation-learning graph-networks protein-structure-prediction self-supervised-learning ppi molecule-design protein-folding ddi protein-docking protein-design
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typedb-ml PaddleHelix
1 1
548 790
- 1.3%
0.0 5.4
6 months ago about 2 months ago
Python Python
Apache License 2.0 Apache License 2.0
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typedb-ml

Posts with mentions or reviews of typedb-ml. We have used some of these posts to build our list of alternatives and similar projects.
  • Graph theory, graph convolutional networks, knowledge graphs
    1 project | news.ycombinator.com | 8 Feb 2021
    It's always funny to see people mentioning hypergraphs in relation to knowledge graphs, this is exactly what we do at Grakn Labs (disclaimer: work there) https://grakn.ai

    For others: we're also starting to look into ML on knowledge graphs, check out our initial work at https://github.com/graknlabs/kglib :D

PaddleHelix

Posts with mentions or reviews of PaddleHelix. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing typedb-ml and PaddleHelix you can also consider the following projects:

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

dgl-ke - High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

dipy - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

0xDeCA10B - Sharing Updatable Models (SUM) on Blockchain

DeBERTa - The implementation of DeBERTa

TrainInvaders - 👾 Jupyter Notebook + Space Invaders!?

eirli - An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21

GPT2-api - 🤖 (Easily) run your own GPT-2 API. Post writing prompts, get AI-generated responses

Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

ANN-decompiler - "AI" demystified: a decompiler

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

typedb-ml vs Activeloop Hub PaddleHelix vs transferlearning typedb-ml vs dgl-ke PaddleHelix vs dipy typedb-ml vs 0xDeCA10B PaddleHelix vs DeBERTa typedb-ml vs TrainInvaders PaddleHelix vs eirli typedb-ml vs GPT2-api PaddleHelix vs Unsupervised-Classification typedb-ml vs ANN-decompiler typedb-ml vs spaCy