adityasarathy Goto Github PK

basecalling-comparison

A comparison of different Oxford Nanopore basecallers

capsnet

A PyTorch implementation of CapsNet based on Geoffrey Hinton's paper "Dynamic Routing Between Capsules"

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.３4%.

cda_python

Coupled dipole approximation in python

cracking-the-coding-interview

Solutions for the book: Cracking the coding interview V4. Written in C++.

cs-interview-guide

A short guide on preparing for computer science interviews

data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

deepnano

deepreinforcementlearning

A replica of the AlphaZero methodology for deep reinforcement learning in Python

deepsimulator

The first deep learning based Nanopore simulator which can simulate the process of Nanopore sequencing.

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

interview

Everything you need to kick ass on your coding interview

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

levelfind_poreseq

Time series classification model. Use Bayesian model to extract signal levels and noise information of DNA bases from raw nanopore sequencing data.

lipnet

Keras implementation of 'LipNet: End-to-End Sentence-level Lipreading'

masters-thesis

FER 2016/2017 Masters thesis - "Deep Learning Model for Base Calling of MinION Nanopore Reads"

meep_cylinder_scattering_project

minion-basecaller

Repo for Mincall - MinION basecaller we're working on during school year 2016/2017.

mrnppstokessteadyfoam

OpenFOAM solver for PNP-Stokes equations with solid-fluid regions coupling capability

nanonet

First generation RNN basecaller

nanopores

Modeling and Simulation of Nanopore Sensors

nonequilibriumgreensfunction

Calculates transport dynamics of a customizable channel and contact configuration in the Non-Equilibrium Green's Function Formalism

papers-i-read

Summaries and notes on recent Deep Learning literature

pore-compare

Comparison of conductance data in the solid-state nanopore literature.

pygbe

pygmmis

Gaussian mixture model for incomplete, truncated, and noisy data

pykalman

Kalman Filter, Smoother, and EM Algorithm for Python

python

All Algorithms implemented in Python

rocalphago

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.