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4d_nucleome_analysis_toolbox

Package for Hi-C data including loading, plotting, translocation exploration, normalization, and TAD calculation.

booksim2

BookSim 2.0

bwa

Burrow-Wheeler Aligner for pairwise alignment between DNA sequences

bwa_crackdown

caffe

Caffe: a fast open framework for deep learning.

caffe-builder

CMake build scripts to automate building the Caffe library and its dependencies.

contech

cs224n-winter17-notes

Course notes for CS224N Winter17

cv

dfos_sensor_selection

firstorderlogic

A resolution-based FirstOrderLogic inference system that can answer simple query

gillespie-ssa

The kinetics of chemical reaction networks are often modeled using differential equations, treating the amounts of chemical species as continuous and deterministic quantities. If the number of reacting molecules is small, random molecular fluctuations become significant and a discrete, stochastic modeling approach is often more appropriate. Under assumptions of a "well-mixed" environment, such a system can be modeled as a continuous-time Markov process, whose probability distribution obeys what is called a chemical "master equation". The Gillespie algorithm (or SSA) is a discrete-event simulation algorithm that produces single realizations of the stochastic process that are in exact statistical agreement with the master equation. This submission includes simple implementations of the two original versions of the SSA (Direct and First-Reaction Method). The user provides a model consisting of a matrix of reaction stoichiometries, a handle to a function that computes reaction propensities (probability/unit time), an initial state vector, and initial/final times. The ssa functions returns the sequence of event times and species amounts.

hello_world

jemdoc

Light text markup for creating websites

leetcode_python

Leetcode solutions in Python

multifractal_analysis_cmplxnk

This is publicly available repo for the data of the NSR in review

multiscale_graph

netfpga-sume-public

NetFPGA-SUME public repository

networkreconstruction

nn

noxim

Network on Chip Simulator

phd_thesis_proposal

rnn-tutorial-rnnlm

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

routesearch

snap

Scalable Nucleotide Alignment Program -- a fast and accurate read aligner for high-throughput sequencing data

spoon-knife

This repo is for demonstration purposes only.

tensorflow

Computation using data flow graphs for scalable machine learning

urashima9616.github.io

weixinbot

网页版微信API，包含终端版微信及微信机器人