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Type: User
Company: Waseda University
Bio: bioinformatician
Location: tokyo
Type: User
Company: Waseda University
Bio: bioinformatician
Location: tokyo
A Python implementation of global optimization with gaussian processes.
light version of catrapid globalscore to run on Nextflow
CBAM implementation on Keras
Character-level Convolutional Networks for Text Classification论文仿真实现
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning
Convolutional Neural Network text classifier using Keras and tensorflow backed
Web site for the class EE 372 : Data Science for High-Throughput Sequencing at Stanford
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
A Drug-Target Interaction Prediction Toolkit with State-of-the-Art Deep Learning Methods and its Applications in Drug Repurposing and Virtual Screening
Inference of DNA-binding preferences from HT-SELEX data using deep neural networks
Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)
DLPRB: A Deep Learning Approach for Predicting Protein-RNA Binding
Predicting Drug Protein Interaction using Quasi-Visual Question Answering System
Tensorflow implementation of Dual Attention Network
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Software for calculating Structural Interaction Fingerprints (SIFts) in nucleic acids-ligands complexes.
Fitness landscape exploration sandbox for biological sequence design.
Deep Exploration Networks - Diverse deep generative DNA sequence models
图神经网络相关算法详述及实现
GraphDTA: Predicting drug-target binding affinity with graph neural networks
GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!
Github repository for the iGEM Team Heidelberg 2020 judging release software.
Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
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.