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Baihan Lin

Login: doerlbh

Company: Institute for Protein Design

Location: University of Washington

Bio: Design code of life~

Blog: doerlbh.com

Member of

Repositories

awesome-rnn: Recurrent Neural Network - A curated list of resources dedicated to RNN
BakerLab_ABEGO_solver: to use ABEGO to filter out good models
BakerLab_bp_creator: to create WC bp file emuneratively
BakerLab_bp_solver: to create protein whole complex blueprint from dimer
BakerLab_bp_wc2dm: to create DM bp file from WC bp file
BakerLab_cmd_scripts: Scripts that I wrote to facilitate analysis automation, file searching and rearrangements
BakerLab_rosetta_clone_tools: A public repository with scripts and tools for cloning and setting up RosettaCommons repositories.
Bandage: a Bioinformatics Application for Navigating De novo Assembly Graphs Easily
BGI_Autism_Genomics_QC_NACTG_stat: Quality Control of genomics reads based on NACTG and remove reads with low-quality reads.
BGI_Autism_Genomics_QC_report_adapter: Generate a report of genomics data and remove reads with adapter and low-quality reads.
CaImAn: Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
CNMF_E: Constrained Nonnegative Matrix Factorization for microEndoscopic data
Code_testing_2014_2015_2016: Storing some old coding attempts
CompBio_Modeling: A repository for modeling biological system
CompNeuro_Neuronal_RC_HH_Model: model neuronal RC Circuit in HH model
CompNeuro_Neuron_Tuning_Curve: model neuron tuning curve
Contents: null
DeepBind: Training and testing of DeepBind models.
doerlbh.github.io: Self-construct a github site
EdgeRefinement: null
edward: A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
Epidemic_Ebola_Bat_Model: A repository for epidemic modeling of Ebola Outbreak 2014
Geno_SNP_18s_OTU: For Metagenomics, 18s OTU study
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.
hmmlearn: Costimized Hidden Markov Models in Python, with scikit-learn like API
Hoffman_Coding: A way to compress information for storage
Indie_Biochemical_Oscillation: null
Indie_ImageGrider: to test out various image processing techniques to produce an integrative image
Indie-nextflu: Real-time tracking of influenza evolution
Indie_Redo_NuRsE: null
ISB_GRN: Gene Regulatory Network Modeling
Learn-bgiR: an R package for R training at BGI-Tech
Learn-gotgithub: GotGitHub: an open source E-book about GitHub in Chinese
Learn_Python: A repository for storing my Python learning
Life_Life-Time-Tracker: ?????????????????????????????????????????????
Life_TED_List: ???TED????
macro-practice-: The first macro that I created on word.
Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
mcarts: null
OLab_analysis: To store my old codes for Olavarria Lab analysis
OLab_IntanEphys: For the analysis of electrophysiology experiments' recording using Intan Tech
OLab_patch_processor_1.0: old GUI to process and calculate the patchiness of V1 Ocular Dominance Columns
OLab_patch_processor_2.0: A GUI to analysis the patchiness of V1 ocular dominance columns
OLab_patch_processor_3.0: null
prob-seq-cli: null
QianLab_DNA_dynamics: simulate polymer dynamics
QianLab_SPADE_stochastics: SPADE stochastics
Qix: Machine Learning?Deep Learning?PostgreSQL?Distributed System?Node.Js?Golang
RNAi_CME_Dynamics: A repository for cellular dynamics of stochastic gene expression of RNA interference
scTDA: An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data
scVI: A deep generative model for gene expression profiles from single-cell RNA sequencing
TengLab_Ebola_GUI_SL: A repository for epidemic modeling of Ebola Outbreak 2014-2015 (GUI and SL)
TengLab_Matrix_Solver: process mutual information for protein sequences and visualize them via heatmap etc
test: null
UbiComp_OsteoApp_FEA: Finite Element Analysis and Bone Density Frequency Study for OsteoApp of UbiComp Lab @ UW
Web_UW: My UW page

Commits To

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This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.