文明's repositories
DeepLearning-in-Bioinformatics
For anyone who are eager to applying deep learning in bioinformatics!
DeepDTIs_DBN
Deep learning-based drug-target interaction prediction / Deep belief net (DBN) based on Theano
TensorFlow-Books
A collection of Tensorflow books
DeepMirTar_SdA
Stack denoising autoencoder (SdA) code in "Deep learning based functional site-level and UTR-level human miRNA target prediction"
DeepBioinfo
A sklearn-like implementation of deeplearning in bioinformatics based on TensorFlow.
miRNA-target-prediction-papers
A collection of all existing miRNA target gene prediction papers
Deep-learning-online-courses
A collection of deep learning online courses.
BioDatabases-and-BioTools
A collection of biological databases and biological tools.
Contact-Map-Identification
Contact Map Identification with Contact Motif Pairs
Contact_map_prediciton_papers
A collection of all existing contact map prediciton papers.
Damage-Segmentation
Codes of "Damage Segmentation for Sanskrit Palm-leaf Manuscript in Tibet".
Outstanding_GitHub_Projects
A collection of outstanding github projects.
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
crfasrnn
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
Deep-learning-books
Books for machine learning, deep learning, math, NLP, CV, RL, etc
Focal-Loss-Pytorch
全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.
MolCLR
Implementation of "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyTorch Geometric
Prediction
None
Swin-Unet
The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
tf_unet
Generic U-Net Tensorflow implementation for image segmentation