Sequential regulatory activity predictions with deep convolutional neural networks.
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Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
C library for Convolutional codes and Reed-Solomon
- convolutional-codes
- reed-solomon
- fec
- viterbi-algorithm
Neural networks toolbox focused on medical image analysis
- python
- keras
- convolutional-neural-networks
- brain
SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Search and filter videos based on objects that appear in them using convolutional neural networks
Source code for "DeepDTA: deep drug-target binding affinity prediction"
- protein-ligand-interactions
- convolutional-neural-networks
RNA-seq prediction with deep convolutional neural networks.
Deep and Machine Learning for Microscopy
- microscopy
- materials
- machine-learning
- materials-science
Hierarchical Convolutional Features for Visual Tracking (ICCV 2015)
SHAInet - a pure Crystal machine learning library
Shallow and Deep Convolutional Networks for Saliency Prediction
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py
⚡ Open-source software for deep learning-based digital pathology
- deep-learning
- machine-learning
- digital-pathology
- computational-pathology
Using Machine Learning to predict the type of exercise from movement data
- keras
- tensorflow
- coreml
- googlecloudml
Axon/Myelin segmentation using Deep Learning
- deep-learning
- machine-learning
- myelin
- axon
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
- deep-learning
- deep-neural-networks
- gradient-descent
- automatic-differentiation
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
- adversarial-attacks
- graph-convolutional-networks
- graph-neural-networks
- pytorch
Re-implement CycleGAN in Tensorlayer
- cyclegan
- gan
- tensorlayer
- resize-convolution
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
- computational-biology
- bioinformatics
- graph-convolution
- deep-learning
Simple convolutional highway networks using TensorFlow.
MCP server for spatial transcriptomics analysis through natural language interfaces.
- bioinformatics
- cell-communication
- deconvolution
- machine-learning
This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).