Stars
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
[TKDE'23] Demo code of the paper entitled "High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation", which has been accepted by IEEE TKDE
Pytorch Geometric implementation of the "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" paper.
Implementation of R-GCNs for Relational Link Prediction
Representation learning for link prediction within social networks
Analysis of B. saida full liver transcriptome data from raw reads to gene ontology.
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Fast genome-wide functional annotation through orthology assignment
Python module and utility programs for working with GFF files
Some badges I created for my GitHub profile readme.
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
😎 A curated list of awesome GitHub Profile which updates in real time
GEKKO Python for Machine Learning and Dynamic Optimization
🏆 Add dynamically generated GitHub Stat Trophies on your readme
PyTorch code and models for V-JEPA self-supervised learning from video.
A Practical and Efficient NCBI Taxonomy Toolkit, also supports creating NCBI-style taxdump files for custom taxonomies like GTDB/ICTV
Bayesian network plot for the enrichment analysis results
PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data
Unlock your displays on your Mac! Flexible HiDPI scaling, XDR/HDR extra brightness, virtual screens, DDC control, extra dimming, PIP/streaming, EDID override and lots more!
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Benchmarks of dimensionality reduction algorithms
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
Draw anything with discrete fourier transform.
Refine high-quality datasets and visual AI models
Multi-class sentiment analysis lstm, finetuned bert