chemicalx
PyNeuraLogic
chemicalx | PyNeuraLogic | |
---|---|---|
5 | 7 | |
700 | 267 | |
0.7% | - | |
3.1 | 8.0 | |
8 months ago | 6 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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chemicalx
- Show HN: What do you need to score drug combos? Sugar, spice, and ChemicalX
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[R] ChemicalX: A Deep Learning Library for Drug Pair Scoring
Code for https://arxiv.org/abs/2202.05240 found: https://github.com/AstraZeneca/chemicalx
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ChemicalX: A Deep Learning Library for Drug Pair Scoring
Link: https://github.com/AstraZeneca/chemicalx
PyNeuraLogic
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[P] PyNeuraLogic - a framework for writing differentiable logic programs
Hi, sure. With this framework, you can write and train deep learning models similarly to PyTorch or TensorFlow. Although the main aim of PyNeuraLogic is on deep relational learning and it uses custom declarative language (implemented in Python). Best fitting use cases are everything where you can utilize relations. One of those use-cases that we are promoting right now is on Graph Neural Networks (GNNs), where you have relations between nodes (such as social networks, molecules). You can then utilize those relations and do regular tasks on graphs, such as link prediction, graph classification, node classification, etc. GNNs quite nicely fit the framework and its language and can be expressed just in one line (as shown in the README). The concrete use-case of PyNeuraLogic on GNNs could then be a molecule classification (example). Other use-cases could be for NLP (we have todo to write an example for it) or knowledge base completion. You could also use it like a regular framework without utilizing relations, but in that case, it might be more efficient to go with PyTorch or TensorFlow.
- Show HN: Evaluate Deep Learning models directly in a database with PyNeuraLogic
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Why Hypergraphs? (2013)
For an original proposal that do logic inference on Hypergraphs I am using NeuraLogic, through a Python frontend (https://github.com/LukasZahradnik/PyNeuraLogic)
I wonder if this is something the author would have enjoyed…
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This Week in Python
PyNeuraLogic – PyNeuraLogic lets you use Python to create Differentiable Logic Programs
- GitHub - LukasZahradnik/PyNeuraLogic: PyNeuraLogic lets you use Python to create Differentiable Logic Programs
- Show HN: PyNeuraLogic: Python Differentiable Logic Programs
What are some alternatives?
deepchem - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
reloadium - Hot Reloading and Profiling for Python
torchdrug - A powerful and flexible machine learning platform for drug discovery
hatch - Modern, extensible Python project management
GraphMixerNetworks - Official Implementation of Graph Mixer Networks
pytorch_geometric - Graph Neural Network Library for PyTorch [Moved to: https://github.com/pyg-team/pytorch_geometric]
GraphGPS - Recipe for a General, Powerful, Scalable Graph Transformer
pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)
OpenChem - OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
bittensor - Internet-scale Neural Networks
typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB