liudan111
PhD student in virology at MRC-University of Glasgow Centre for Virus Research ~ ~Bioinformatics, Machine Learning 🦠 💻
United Kingdom
Pinned Repositories
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ABC_DL
JAVA source code to implement the ABC-DL approach described in Mondal et al
AD3DMIL
Attention Based Deep 3D Multiple Instance Learning
AlgorithmsByPython
算法/数据结构/Python/剑指offer/机器学习/leetcode
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
bayesMCClust
:exclamation: This is a read-only mirror of the CRAN R package repository. bayesMCClust — Mixtures-of-Experts Markov Chain Clustering and Dirichlet<U+000a>Multinomial Clustering
Deep-Learning-21-Examples
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
EvoMIL
Prediction of virus-host association using protein language models and multiple instance learning
ILMF-VH
Kernelized Logistic Matrix Factorization based on Similarity Network Fusion for Predicting Virus-host Association
liudan111's Repositories
liudan111/EvoMIL
Prediction of virus-host association using protein language models and multiple instance learning
liudan111/annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
liudan111/CHERRY
Host prediction
liudan111/CL4PHI
liudan111/dashing
Fast and accurate genomic distances using HyperLogLog
liudan111/DDP-practice
A demo of deep learning with PyTorch DistributedDataParallel module.
liudan111/download-and-reannotation-of-phage-genomes
A snakemake workflow for downloading and reannotating phage genomes
liudan111/efficient-dl-systems
Efficient Deep Learning Systems course materials (HSE, YSDA)
liudan111/HIGH-PPI
liudan111/Histomorphological-Phenotype-Learning
Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Quesne J.*, Tsirigos A.*, and Yuan K.* Self-supervised learning discovers novel morphological clusters linked to patient outcome and molecular phenotypes. 2022'
liudan111/HOTSPOT
HOTSPOT is a hierarchical host prediction tool for plasmid contigs using Transformer.
liudan111/inphared
Providing up-to-date phage genome databases, metrics and useful input files for a number of bioinformatic pipelines.
liudan111/leidenalg
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
liudan111/MARPPI
MARPPI: Boosting prediction of protein−protein interactions with multi-scale architecture residual network
liudan111/milieu
Mutual Interactors: A graph-based machine learning model with applications in molecular phenotype prediction
liudan111/ml_tutorial
This repository explains machine learning concepts
liudan111/MMseqs2
MMseqs2: ultra fast and sensitive search and clustering suite
liudan111/notebooks
Notebooks using the Hugging Face libraries 🤗
liudan111/protein-sequence-models
liudan111/ProtTrans
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
liudan111/ptm-mamba
liudan111/pyterrier_colbert
liudan111/rapppid
Regularised Automatic Prediction of Protein-Protein Interactions using Deep Learning
liudan111/sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
liudan111/seq_ppi
This is the repository for PIPR. This repository contains the source code and links to some datasets used in the ISMB/ECCB-2019 paper "Multifaceted Protein-Protein Interaction Prediction Based on Siamese Residual RCNN".
liudan111/spec2vec
Word2Vec based similarity measure of mass spectrometry data.
liudan111/STEP
Data and code for STEP (Siamese Twin deep sequence Embedding of Proteins) approach.
liudan111/The-Python-Graph-Gallery
A website displaying hundreds of charts made with Python
liudan111/Train-LoRA-DeepSpeed
liudan111/viroinf-hiddensee
Datasets for the ViroInf Hiddensee workshop