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Zhuyi Xue

Login: zyxue

Company: null

Location: Vancouver

Bio: null

Blog:

Member of

MDAnalysis

Repositories

aas: Code to accompany Advanced Analytics with Spark from O'Reilly Media
adam: ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
Amino-Acid-Embedding: :microscope: Train an Amino Acid Embeddings (or a dragon?)
berkeley-cs294: Assignments for CS294-112.
bf_tree: null
biobloom: Create Bloom filters for a given reference and then to categorize sequences
biogrinder: null
biogrinder-code: mirror of biogrinder
biojava: :book::microscope::coffee: BioJava is an open-source project dedicated to providing a Java framework for processing biological data.
biopython: Official git repository for Biopython (converted from CVS)
ContextMap: null
coursera_algorithms_design_and_analysis_part_1: null
coursera_algorithms_design_and_analysis_part_2: null
coursera_functional_programming_principles_in_scala: null
cramtools: Format specification and java implementation for next-gen data.
dapars-with-comments: DaPars(Dynamic analysis of Alternative PolyAdenylation from RNA-seq)
django: The Web framework for perfectionists with deadlines.
docker: Docker - the open-source application container engine
dockerfiles: Collection of dockerfiles
docker-torch-rnn: Docker images for using torch-rnn
dotfiles: dotfiels for AWS EC2 machine
eloquent-javascript-exercises: null
functional_javascript: null
gcp-startup-script: null
GEOparse: Python library to access Gene Expression Omnibus Database (GEO)
getting-started-with-d3-organized-code-snippets: Organized code snippets for the book Getting Started with D3 by Mike Dewar
gmxlib: null
gromacs_top_4.5.5: null
gtf2csv: Convert genome annotation into plain CSV file
high-performance-spark-examples: Examples for High Performance Spark
homebrew: The missing package manager for OS X.
homebrew-science: Scientific formulae for the Homebrew package manager
Human_Level_Control_through_Deep_Reinforcement_Learning: null
JobOverseer: Remotely manage jobs running on one or more HPC clusters.
kaggle-data-exploration: null
keras-inceptionV4: Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)
kleat-from-website: Hosts different versions of KLEAT from BCSGSC website
kvarscan: null
LAST-Plus: Parallel implementation of the LAST aligner
linuxbrew: Experimental fork of Homebrew for Linux.
Machine_learning_005_Andrew_Ng_coursera_201310: null
MapspliceRSEM: null
matrix: Matrix manipulation and computation library
mdanalysis: MDAnalysis is a Python library to analyze molecular dynamics trajectories.
mdtime: null
models: Models and examples built with TensorFlow
myg_tools-4.0.5: Contains customized g_tools for analyzing MD trajectories
ncbitax2lin: Convert NCBI taxonomy dump into lineages
ncbitaxonomy: null
nmt: TensorFlow Neural Machine Translation Tutorial
open-data-catalogue-vancouver: null
pandas-gff3-demo: null
pca: Principal component analysis
pdb_backup: null
prettystats-bug-tracker: null
pybin: null
pycallgraph: pycallgraph is a Python module that creates call graphs for Python programs.
pydr: pydr_zyxue
pydrx: null
pymyg_tools: g_tools written in Python for analyzing MD trajectories
pysam: Pysam is a python module for reading and manipulating Samfiles. It's a lightweight wrapper of the samtools C-API. Pysam also includes an interface for tabix.
PySOFT: SOFT (Simple Omnibus Format in Text) file parser
pytenn2014_tutorial: PyTennessee 2014: Statistical Data Analysis in Python
python-colorlog: A colored formatter for the python logging module
pytorch-tutorial-notebooks: null
RAPSearch2: Reduced Alphabet based Protein similarity Search
react-mathjax: React component to display math formulas
react-matrix: A matrix component for react.js
react-testing-example-lockscreen: null
reinforcejs: Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)
rljs: null
RSEM: RSEM: accurate quantification of gene and isoform expression from RNA-Seq data
rsemreport: A Django site for reporting the progress of rsempipeline analysis
r-source: R Source Code
ruffus: Ruffus is a lightweight python module for running computational pipelines.
scala-impatient-exercise-answers: null
scikit-learn: scikit-learn: machine learning in Python
setuptools: Official project repository for the Setuptools build system
sparkling-breakpoint: null
SPIDER3: null
stanford-cs20si-tensorflow-for-deep-learning-research: null
stanford-cs224n: null
stanford-cs229: Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
stanford-cs231n: null
stanford-cs234: null
sumcoresg: Software for CPU Usage Tracking on HPC Resources
surpi: SURPI
sutton-barto-rl-exercises: Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
tf-word2vec: null
train_models: null
t-SNE-tutorial: A tutorial on the t-SNE learning algorithm
tweetapp: Framework for creating Twitter apps on App Engine
udacity_cs387_applied_cryptography_and_encryption: null
understanding-gene-ontology: null
variant: null
word2vec: This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.
workflows: Community maintained workflows & tools (with examples)
xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
xit: null
youtube_RL_course_by_David_Silver: Collection of Slides for David Silver's Reinforcement Learning Course on Youtube
zyxue.github.io: My technical blog

Commits To

Repository	Most Recent Commit	# Commits

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.