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/pytorchTutorial
PyTorch Tutorials from my YouTube channel
liudan111/MIL-VT
liudan111/TransMIL
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
liudan111/prose
Multi-task and masked language model-based protein sequence embedding models.
liudan111/deeplearning.ai
该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。
liudan111/HGP-Hi-C
Hi-C human gut microbiome
liudan111/oposum
liudan111/MCMIL
A multiclass multiple instance learning method. Only need to know whether any instance of a class exists or not in a sample. Demonstration on multiple object detection and localization.
liudan111/AD3DMIL
Attention Based Deep 3D Multiple Instance Learning
liudan111/Machine_Learning_Tutorials
Code, exercises and tutorials of my personal blog ! 📝
liudan111/FCN-MIL
Fully convolutional network for weakly supervised semantic segmentation
liudan111/ICIAR2018
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)
liudan111/ILMF-VH
Kernelized Logistic Matrix Factorization based on Similarity Network Fusion for Predicting Virus-host Association
liudan111/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
liudan111/ABC_DL
JAVA source code to implement the ABC-DL approach described in Mondal et al
liudan111/LMFH-VH
a neighborhood regularization logistic matrix factorization algorithm on the heterogeneous network to predict potential Virus-Host associations
liudan111/-
liudan111/machinelearing
liudan111/Sword-pointing-to-offer
剑指offer java版实现
liudan111/AlgorithmsByPython
算法/数据结构/Python/剑指offer/机器学习/leetcode
liudan111/MachineLearning
Basic Machine Learning and Deep Learning
liudan111/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
liudan111/tensorflow
Computation using data flow graphs for scalable machine learning
liudan111/DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
liudan111/Data-Structures-and-Algorithms-in-C
所有基础数据结构和算法的纯C语言实现,如各自排序、链表、栈、队列、各种树以及应用、图算法、字符串匹配算法、回溯、并查集等,献丑了
liudan111/liudan111.github.io
blog
liudan111/learnlaravel5
liudan111/biotech
A project for Bioinformations
liudan111/python_mcl
markov cluster algorithm - python
liudan111/PhageHosts
This is the complete code base used in Robert A. Edwards, Katelyn McNair, Karoline Faust, Jeroen Raes, and Bas E. Dutilh (2015) Computational approaches to predict bacteriophage–host relationships. FEMS Microbiology Reviews doi: 10.1093/femsre/fuv048