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University of Tokyo
- Tokyo, Japan
- https://g708.github.io/
Highlights
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Stars
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
ULMFiT for Genomic Sequence Data
Matplotlib styles for scientific plotting
PyWGCNA is a Python package designed to do Weighted Gene Correlation Network analysis (WGCNA)
This project is a scalable unified framework for deep graph clustering.
RNA-seq prediction with deep convolutional neural networks.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Biological sequence analysis for the modern age.
NEW location of IQ-TREE software for efficient phylogenomic software by maximum likelihood http://www.iqtree.org
Fast genome-wide functional annotation through orthology assignment
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
ChromBERT: Uncovering Chromatin State Motifs in the Human Genome using a BERT-based Approach
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
A curated list of Quarto talks, tools, examples & articles! Contributions welcome!
A clean, minimalist quarto theme for your data analysis reports
SVG icons for popular brands
SuperDendrix, an algorithm for identifying differential dependencies and associated genomic features.
Graph Similarity Description: How Are These Graphs Similar? (KDD 2021)
deep learning-inspired explainable sequence model for transcription initiation
Network Diffusion Library - (for NetworkX and iGraph)
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
✏️ Neural Style Transfer: A Review