Pinned Repositories
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
bash2048
Bash implementation of 2048 game
ChariTech
codeforces
CourseraML
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
Faster-TeX-with-Vim
Slides and other material from our talk!
Game-of-24
A solution finder to game of 24
gans
Generative Adversarial Networks implemented in PyTorch and Tensorflow
GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
GAT-for-PPI
The code of Graph Attention Networks for Cora, Citeseer, Pubmed and PPI
VeraRen0401's Repositories
VeraRen0401/adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
VeraRen0401/bash2048
Bash implementation of 2048 game
VeraRen0401/ChariTech
VeraRen0401/codeforces
VeraRen0401/CourseraML
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
VeraRen0401/Faster-TeX-with-Vim
Slides and other material from our talk!
VeraRen0401/Game-of-24
A solution finder to game of 24
VeraRen0401/gans
Generative Adversarial Networks implemented in PyTorch and Tensorflow
VeraRen0401/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
VeraRen0401/GAT-for-PPI
The code of Graph Attention Networks for Cora, Citeseer, Pubmed and PPI
VeraRen0401/Generative-Adversarial-Network-Tutorial
Tutorial on creating your own GAN in Tensorflow
VeraRen0401/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
VeraRen0401/keras-generative
Deep generative networks, coded with Keras.
VeraRen0401/mynotebook
My daily notebook on bioinformatic data analysis and machine learning
VeraRen0401/py-wsi
Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.
VeraRen0401/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
VeraRen0401/relationPrediction
ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
VeraRen0401/RouteNet-challenge
RouteNet version for the Graph Neural Networking Challenge
VeraRen0401/tensorflow
An Open Source Machine Learning Framework for Everyone
VeraRen0401/winference
R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)
VeraRen0401/workshop-deep-learning
Hackers at Cambridge Deep Learning Workshops