molecule-generation
pytorch_geometric
| molecule-generation | pytorch_geometric | |
|---|---|---|
| 1 | 1 | |
| 240 | 14,506 | |
| -0.4% | - | |
| 5.6 | 9.8 | |
| 4 months ago | about 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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.
molecule-generation
-
Microsoft AI Researchers Develop MoLeR: A Deep Learning-Based Generative Model That Enables Efficient Drug Design
Github: https://github.com/microsoft/molecule-generation
pytorch_geometric
-
Introduction to PyTorch
PyTorch Geometric
What are some alternatives?
denoising-diffusion-pytorch - Implementation of Denoising Diffusion Probabilistic Model in Pytorch
pytorch_geometric - Graph Neural Network Library for PyTorch
MidiTok - MIDI / symbolic music tokenizers for Deep Learning models 🎶
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
GRAN - Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. [Moved to: https://github.com/PyTorchLightning/pytorch-lightning]
dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.
PyNeuraLogic - PyNeuraLogic lets you use Python to create Differentiable Logic Programs
tutorials - PyTorch tutorials.
GNNs-Recipe - 🟠A study guide to learn about Graph Neural Networks (GNNs)
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)
graphlearn-for-pytorch - A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.