Koç University deep learning framework.
- knet
- deep-learning
- julia
- machine-learning
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Koç University deep learning framework.
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Precision Medicine Knowledge Graph (PrimeKG)
A knowledge graph and a set of tools for drug repurposing
food image to recipe with deep convolutional neural networks.
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
Solve captcha without manually labeling a training set
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Fusing Histology and Genomics via Deep Learning - IEEE TMI
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
🏃 The go-to single-cell Foundation Model
Optimising chemical reactions using machine learning
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
General Modeling Network Specification
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
The repository host gives no description.
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
Sources for the Network Science Cheatsheets
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
A GTFS-based data transit network data standard suitable for dynamic transit modeling.
Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105