tomastokar

Toronto, ON, Canada

Pinned Repositories

Additive-Margin-Softmax
Pytorch implementation of additive margin softmax loss
Language:Python104
google-research
Google Research
Language:Jupyter Notebook00
gsoap
A tool for visualisation of gene set over-representation analysis (GSOA).
Language:R103
ICET
Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets
Language:Jupyter Notebook10
Linear-Densenet
Pytorch implementation of densely connected linear layers
Language:Python00
MIE1517_nlp_proteins
Research project for MIE1517: Introduction to Deep Learning
Language:Jupyter Notebook01
Neural-Additive-Models
Pytorch implementation of neural additive model
Language:Python40
pulearn_package
Package for positive-unlabelled learning
Language:Jupyter Notebook10
Pytorch-Tabula
A PyTorch feed forward neural network for tabular data
Language:Python00
spgm
Simple Probabilistic Graphical Model
Language:Jupyter Notebook00

tomastokar/Additive-Margin-Softmax
Pytorch implementation of additive margin softmax loss
Language:Python104
tomastokar/gsoap
A tool for visualisation of gene set over-representation analysis (GSOA).
Language:R103
tomastokar/Neural-Additive-Models
Pytorch implementation of neural additive model
Language:Python40
tomastokar/pulearn_package
Package for positive-unlabelled learning
Language:Jupyter Notebook10
tomastokar/google-research
Google Research
Language:Jupyter Notebook00
tomastokar/Linear-Densenet
Pytorch implementation of densely connected linear layers
Language:Python00
tomastokar/MIE1517_nlp_proteins
Research project for MIE1517: Introduction to Deep Learning
Language:Jupyter Notebook01
tomastokar/Pytorch-Tabula
A PyTorch feed forward neural network for tabular data
Language:Python00
tomastokar/spgm
Simple Probabilistic Graphical Model
Language:Jupyter Notebook00
tomastokar/tomastokar.github.io
Language:JavaScript00