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pygcl

PyGCL: Graph Contrastive Learning Library for PyTorch

pytorch-transfomer

My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

pytorch_geometric

Graph Neural Network Library for PyTorch

reid_framework

Person Re-ID framework in development during my PhD with the collaboration of Prof. Dr. William Robson Schwartz (UFMG)

robust-multilyer-bionetworks

scode

SCODE : an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation

scrna_smart_seq2

sincerities

SINCERITIES is a tool for inferring gene regulatory networks from time-stamped cross-sectional single cell transcriptional expression profiles.

swing

Sliding Window Inference for Network Generation

target-control-complex-networks-with-minimum-energy-cost

tcgamutations

R data package for pre-compiled somatic mutations from TCGA cohorts (from Broad Firehose and TCGA MC3 Project)

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

trinity_ctat