https://github.com/babayara/hybrid-fortran
Accelerate with CUDA, OpenACC and OpenMP - Unified and Performance Portable
https://github.com/babayara/deepmind-atari-deep-q-learner
The original code from the DeepMind article + my tweaks
https://github.com/babayara/convgp
Convolutional Gaussian processes based on GPflow.
https://github.com/babayara/bayesianoptimization
A Python implementation of global optimization with gaussian processes.
https://github.com/babinyurii/virus-genome-assembly-using-ngs-data
workflow and notes on large virus genome assembly and snp call using FastQC, Trimmomatic, bowtie2, and samtools.
https://github.com/babinyurii/cancer_gene_expression_profile_analysis-microarray_data
analysis of the dataset from kaggle.com
https://github.com/babots-project/cuda_agent_based_sim
A simple CUDA agent-based simulator
https://github.com/babots-project/behavioural_flagging
Python re-implementation of Salvador et al. 2014 behavioural flagging algo.
https://github.com/baccuslab/spotdmouse
Applying Biologically Constrained NNs to Mini Pupper Robot
https://github.com/baccuslab/torch-deep-retina
PyTorch implementation of Deep Retina
https://github.com/baccuslab/lnks
Linear-Nonlinear-Kinetics-Spiking(LNKS) model repository
https://github.com/baccuslab/imgclass
A project for image classification using many of the same paradigms as torchdeepretina
https://github.com/baccuslab/inferring-hidden-structure-retinal-circuits
Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`
https://github.com/baccuslab/deep-retina
deep-retina is a project to build a convolutional neural network that can predict retinal ganglion cell responses to natural stimuli with high accuracy.