Pinned Repositories
graphein
Protein Graph Library
keras
Deep Learning for humans
adversarial-gene-expression
Adversarial generation of gene expression data using Generative Adversarial Networks
connect-4-prolog
Connect 4 game in Prolog
GTEx-imputation
Gene Expression Imputation with Generative Adversarial Imputation Nets
HYFA
Hypergraph Factorisation
nnn
Neural network from scratch in Python using Numpy
polythetic_metalearning
sentiment-analysis-tensorflow
Sentiment Analysis with a simple LSTM network using TensorFlow
rvinas's Repositories
rvinas/sentiment-analysis-tensorflow
Sentiment Analysis with a simple LSTM network using TensorFlow
rvinas/adversarial-gene-expression
Adversarial generation of gene expression data using Generative Adversarial Networks
rvinas/HYFA
Hypergraph Factorisation
rvinas/GTEx-imputation
Gene Expression Imputation with Generative Adversarial Imputation Nets
rvinas/nnn
Neural network from scratch in Python using Numpy
rvinas/polythetic_metalearning
rvinas/caraml-website
Content for the CaRAML website
rvinas/CIBERSORT
A shell to facilitate loading / running CIBERSORT software in structured environments
rvinas/comet
[ICLR 2021] Concept Learners for Few-Shot Learning
rvinas/DeepSets
rvinas/disentangling-disentanglement
rvinas/GAIN
Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018
rvinas/graphein
Protein Graph Library
rvinas/Hierarchical_BiLSTM-CRF_Encoder
rvinas/InvariantRiskMinimization
PyTorch code to run synthetic experiments.
rvinas/keras
Deep Learning for humans
rvinas/Keras-GAN
Keras implementations of Generative Adversarial Networks.
rvinas/ML-MATLAB
rvinas/ncem
Learning cell communication from spatial graphs of cells
rvinas/Neural-Ordinary-Differential-Equations
Sample implementation of Neural Ordinary Differential Equations
rvinas/novosparc
rvinas/predicting-subcellular-location
Predicting the subcellular location of eukaryotic proteins with support vector machines
rvinas/prosopagnosia
rvinas/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.
rvinas/rvinas.github.io
A simple portfolio Jekyll theme:
rvinas/scipy
Scipy library main repository
rvinas/set_transformer
A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'
rvinas/statsmodels
Statsmodels: statistical modeling and econometrics in Python
rvinas/tensorflow
An Open Source Machine Learning Framework for Everyone
rvinas/vision
Datasets, Transforms and Models specific to Computer Vision