chemical_vae
SMILES encoder
A software framework for constructing and training variational autoencoders for encoding molecular SMILES into compact code vectors.
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
492 stars
36 watching
183 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
kefirski/pytorch_rvae | A deep learning implementation of a recurrent variational autoencoder for generating sequential data. | 357 |
darienhuss/shotgunyara | Tools and utilities for generating encoded versions of input data | 9 |
gordonhu608/mqt-llava | A vision-language model that uses a query transformer to encode images as visual tokens and allows flexible choice of the number of visual tokens. | 97 |
ryankiros/skip-thoughts | Provides an implementation of Skip-Thought Vectors for encoding and analyzing sentence pairs | 2,047 |
fh295/sentencerepresentation | A software framework for learning sentence representations using unsupervised machine learning algorithms | 124 |
dakrone/cheshire | Fast JSON encoding library with custom encoders and support for SMILE format | 1,491 |
aspuru-guzik-group/selfies | A Python library that provides a robust representation of semantically constrained graphs, specifically for molecules in chemistry. | 679 |
cdoersch/vae_tutorial | An open-source implementation of Variational Autoencoders and Conditional Variational Autoencoders for image reconstruction tasks | 502 |
fducau/aae_pytorch | An implementation of Adversarial Autoencoders using PyTorch for training neural networks on structured data. | 198 |
cxhernandez/molencoder | A PyTorch-based implementation of an autoencoder for molecular data processing and encoding. | 86 |
sija/base62.cr | A library that encodes numbers using a compact set of characters (Base62) and provides decoding functionality. | 10 |
arolek/ase | An ASE file decoder and encoder written in Go | 12 |
trungnt13/sisua | A software framework for semi-supervised generative Autoencoder models applied to single-cell data analysis. | 18 |
baaivision/eve | A PyTorch implementation of an encoder-free vision-language model that can be fine-tuned for various tasks and modalities | 230 |
auspicious3000/contentvec | An implementation of a self-supervised speech representation model using PyTorch and disentangled speaker embeddings | 467 |