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Code for 5UTR project
Automatic feature engineering using deep learning and Bayesian inference using Keras and TensorFlow.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
BiNE: Bipartite Network Embedding
Find clustered hits from a BLAST search
Using LSTM based language model with tokenized chemical name to predict the reaction of organic chemicals
Conditional Sequence-to-sequence VAE
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.
A help file for DTI-CDF for DTIs prediction.
Predicting drug-target interaction using multi-label learning with community detection method (DTI-MLCD)
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 from protein language models
a deep neural network with TensorFlow to slove an emotion task
Deep learning applied to chemical reaction prediction.
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
Novel Decomposing Model with Evolutionary Algorithms for Feature Selection in Long Non-Coding RNAs
Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.
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.
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
Novel molecules from a reference shape!
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Predicting drug-target interactions using Lasso with random forest based on evolutionary information and chemical structure
Feature Extraction Package for Biological Sequences
Models and examples built with TensorFlow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.