abuchin
Genetics, Neuroscience, Single cell omics, Neural networks, Cell biophysics, Machine learning
@synthesizebio Seattle
Pinned Repositories
All-active-Manuscript
Code for reproducing the figures presented in: Single-neuron models linking electrophysiology, morphology and transcriptomics across cortical cell types
All-active-Workflow-v1
Creating the code base for All-active Model generation written on top of Bluepyopt
Ca-spike-extraction-and-SVM-decoder
ML spike algorithm and SVM decoder predicting the drifting gratings direction based on optical recordings in V1 visual cortex.
EI-with-adaptation
This code simulates the E-I population model in XPPAUT.
human-epilepsy-project
human_neuron_Ih
This repository contains the simulation code to run single neuron simulations in the early version of bmtk (https://github.com/AllenInstitute/bmtk)
jazz_lstm
LSTM for Jazz
ML_protein_ligand_prediction
Mouse-all-active-models-EAP
human_neuron_Ih
This repository contains the simulation code to run single neuron simulations in the early version of bmtk (https://github.com/AllenInstitute/bmtk)
abuchin's Repositories
abuchin/jazz_lstm
LSTM for Jazz
abuchin/human_neuron_Ih
This repository contains the simulation code to run single neuron simulations in the early version of bmtk (https://github.com/AllenInstitute/bmtk)
abuchin/KCC2-in-Subiculum
Single neuron and neural network model of Subiculum circuit with dynamic potassium and chloride concentrations.
abuchin/AllenSDK
abuchin/benchmark
Comparison of single-cell normalization methods using multiple datasets with ground-truth labels
abuchin/bmtk
Brain Modeling Toolkit
abuchin/Code_snippets
A repo with random short code snippets
abuchin/cvx-nb
IPython Notebooks of Convex Optimization Problems
abuchin/Data-Science--Cheat-Sheet
Cheat Sheets
abuchin/Dcluster
Clustering by fast search and find of density peaks
abuchin/deepjazz
Deep learning driven jazz generation using Keras & Theano!
abuchin/emojify_lstm
LSTM emojify
abuchin/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
abuchin/HSNE-clustering
Scalable analysis of large high-dimensional data
abuchin/ihmehimmeli
abuchin/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
abuchin/iterativeWGCNA
Extension of the WGCNA program to improve the eigengene similarity of modules and increase the overall number of genes in modules.
abuchin/jupyter_themes
A plugin to select syntax highlighting on Jupyter
abuchin/LineagePulse
Differential expression analysis for single-cell RNA-seq data
abuchin/local-linear-segmentation
This repository contains the main scripts for local linear segmentation and subsequent analysis of the resulting model space
abuchin/lstm_translation
LSTM date translation with attention mechanism
abuchin/nbdime
Tools for diffing and merging of Jupyter notebooks.
abuchin/NeuroMorphoVis
A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing digital reconstructions of neuronal morphology skeletons extracted from microscopy stacks.
abuchin/paga
Mapping out the coarse-grained connectivity structures of complex manifolds.
abuchin/RTNeuron
Interactive visualization framework for geometrically detailed neuron simulations
abuchin/scAlign
A deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches
abuchin/sphinx-gallery
Sphinx extension for automatic generation of an example gallery
abuchin/statsmodels
Statsmodels: statistical modeling and econometrics in Python
abuchin/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
abuchin/uncertainpy
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis.