GRAN
molecule-generation
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| GRAN | molecule-generation | |
|---|---|---|
| 1 | 1 | |
| 450 | 241 | |
| - | 2.1% | |
| 0.0 | 5.6 | |
| 9 months ago | 4 months ago | |
| C++ | Python | |
| MIT License | MIT License |
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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.
GRAN
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Software Engineering or AI or Data Science?
In your case, I would really avoid AI ML DS altogether unless you believe you have the theoretical prerequisites. The coding part in AI ML DS is not like your typical software. It is scientific code and you must understand what's going on in your program with respect to trainable parameters. Here is an example.
molecule-generation
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Microsoft AI Researchers Develop MoLeR: A Deep Learning-Based Generative Model That Enables Efficient Drug Design
Github: https://github.com/microsoft/molecule-generation
What are some alternatives?
euler - A distributed graph deep learning framework.
MidiTok - MIDI / symbolic music tokenizers for Deep Learning models 🎶
Generalizing-Lottery-Tickets - This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"
denoising-diffusion-pytorch - Implementation of Denoising Diffusion Probabilistic Model in Pytorch
ProGraML - A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations
pytorch_geometric - Graph Neural Network Library for PyTorch [Moved to: https://github.com/pyg-team/pytorch_geometric]
dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.