Name: Anatoly Buchin
Type: User
Company: Cajal Neuroscience
Bio: Computational neuroscience, neural networks, cell biophysics, machine learning, single cell omics
Twitter: neurojoy
Location: Seattle
Blog: http://www.buchin.info/
Anatoly Buchin's Projects
Models built with TensorFlow
Monet: An open-source Python package for analyzing and integrating scRNA-Seq data using PCA-based latent spaces
mygene is an easy-to-use Python wrapper to access MyGene.Info services.
Tools for diffing and merging of Jupyter notebooks.
Net-contrlol-Realistic connectivity
Neuronal Morphologies & Circuits
A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing digital reconstructions of neuronal morphology skeletons extracted from microscopy stacks.
NEURON User Interface
List of summer schools in neuroscience and related fields
Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper
Jupyter Interactive Notebook
Growing set of scripts to explore pdf publication using ChatGPT API
Mapping out the coarse-grained connectivity structures of complex manifolds.
LLM Chain for answering questions from documents with citations
Code for reproducing the analyses presented in "Human cortical expansion involves diversification and specialization of supragranular intratelencephalic-projecting neurons".
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
Python interface to access reference genome features (such as genes, transcripts, and exons) from Ensembl
Simple Python version management
Reproducible bioinformatics pipelines in python. Import any Unix tool/command in python.
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
Jupyter Notebooks for the Python Data Science Handbook
PyWGCNA is a Python package designed to do Weighted correlation network analysis (WGCNA)
The network to recognize digits shown by one hand.
Interactive visualization framework for geometrically detailed neuron simulations