a96123155's repositories

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DTI-CDF

A help file for DTI-CDF for DTIs prediction.

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DTI-MLCD

Predicting drug-target interaction using multi-label learning with community detection method (DTI-MLCD)

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5UTR_Optimizer

Code for 5UTR project

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bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

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BiNE

BiNE: Bipartite Network Embedding

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cblaster

Find clustered hits from a BLAST search

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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.

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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).

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efficient-evolution

Efficient evolution from protein language models

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esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

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FeatureSelection-FSRV

Novel Decomposing Model with Evolutionary Algorithms for Feature Selection in Long Non-Coding RNAs

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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.

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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

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ligdream

Novel molecules from a reference shape!

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lit

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

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MathFeature

Feature Extraction Package for Biological Sequences

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protein-vae

Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies

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VIA

trajectory inference

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ViennaRNA

The ViennaRNA Package

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