a96123155's repositories
5UTR_Optimizer
Code for 5UTR project
bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
BiNE
BiNE: Bipartite Network Embedding
cblaster
Find clustered hits from a BLAST search
CVAE-GAN-zoos-PyTorch-Beginner
For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
ecco
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
efficient-evolution
Efficient evolution from protein language models
esm
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
FeatureSelection-FSRV
Novel Decomposing Model with Evolutionary Algorithms for Feature Selection in Long Non-Coding RNAs
iLearnPlus
iLearnPlus is the first machine-learning platform with both graphical- and web-based user interface that enables the construction of automated machine-learning pipelines for computational analysis and predictions using nucleic acid and protein sequences.
iris_multioutput
Multi output Keras model on the iris dataset. I am adding a regression value to each class so that I can implement classification and regression in the same model. Classes are flower types: Iris-setosa, Iris-versicolor,Iris-virginica So I am adding another output for flower price
ligdream
Novel molecules from a reference shape!
lit
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
MathFeature
Feature Extraction Package for Biological Sequences
protein-vae
Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
VIA
trajectory inference
ViennaRNA
The ViennaRNA Package