Name: Jacob Kimmel
Type: User
Company: @newlimit
Bio: Head of Research, @NewLimit | previously Principal Investigator @calico, PhD @UCSF | Interested in aging, genomics, machine learning
Twitter: jacobkimmel
Location: san francisco, ca
Blog: jck.bio
Jacob Kimmel's Projects
regulatory network analysis of aging related genetic variants
:anchor: Find bimodal, unimodal, and multimodal features in your data
Annotated data.
CellBender is a software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data.
Random Name and Slug Generator
@jkimmel's fork of DeepCell, implementing multiprocessing support and a big refactor for clarity
Torch implementation of DeepMask and SharpMask
:pencil2: A versatile DNA sequence optimizer
qPCR analysis tools for Python
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
PyTorch implementation of Fully Convolutional DenseNets for Semantic Segmentation
Python implementation of Gene Set Enrichment Analysis (GSEA) method
Gene Set Enrichment Analysis in Python
Heteromotility Data Analysis in R
personal website
A wrapper for the kallisto | bustools workflow for single-cell RNA-seq pre-processing
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Deep convolutional neural networks for biological motion analysis
parses data from an affymetrix microarray to remove noise between samples prior to ontology analsysis
Bipartite tracker for muscle stem cells
Single cell behavioral and transcriptomic of aging muscle stem cells
Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"
Periodic plus smooth image decomposition, as described by Moisan (http://www.math-info.univ-paris5.fr/~moisan/papers/2009-11r.pdf)
Two Python implementations of sum of exponentials fitting to data
Convolutional Gated Recurrent Units implemented in PyTorch
Estimates the size of a PyTorch model in memory
Summarizes PyTorch models
Single-Cell Analysis in Python. Scales to >1M cells.
Collections of library structure and sequence of popular single cell genomic methods