ozlemmuslu

ozlemmuslu's Stars

• karpathy/neuraltalk2

  Efficient Image Captioning code in Torch, runs on GPU

  Language:Jupyter Notebook5.5k2741871.3k

• phanein/deepwalk

  DeepWalk - Deep Learning for Graphs

  Language:Python2.7k84111826

• thunlp/NRLPapers

  Must-read papers on network representation learning (NRL) / network embedding (NE)

  Language:TeX2.5k2499647

• snap-stanford/snap

  Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

  Language:C++2.2k177169799

• chickenbestlover/RNN-Time-series-Anomaly-Detection

  RNN based Time-series Anomaly detector model implemented in Pytorch.

  Language:Python1.2k3752316

• lukasruff/Deep-SVDD-PyTorch

  A PyTorch implementation of the Deep SVDD anomaly detection method

  Language:Python7081625197

• hendrycks/outlier-exposure

  Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

  Language:Python5471924108

• bioinform/neusomatic

  NeuSomatic: Deep convolutional neural networks for accurate somatic mutation detection

  Language:Python168125251

• snash4/GAT2VEC

  embedding attributed graphs

  Language:Python584624

• TRON-Bioinformatics/neofox

  Annotation of mutated peptide sequences with published or novel potential neoantigen descriptors

  Language:Python276106

• pharmacome/conso

  The Curation of Neurodegeneration Supporting Ontology (CONSO)

  Language:Jupyter Notebook74205

• cthoyt/nrl

  Network Representation Learning in Python with igraph

  Language:Python4481

• pharmacome/curation

  Guidelines and procedures for curation (manual and semi-automated)

  Language:Python4352

• cthoyt/flask-celery-docker-demo

  A short demo on how to process files with Flask and Celery inside Docker

  Language:Python230

• cthoyt/ddot

  Toolkit for constructing, analyzing, and visualizing data-driven ontologies

  Language:C++140