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 filte…

Kalman Filter, Smoother, and EM Algorithm for Python

All Algorithms implemented in Python

Tombo is a suite of tools primarily for the identification of modified nucleotides from raw nanopore sequencing data.

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

A comparison of different Oxford Nanopore basecallers

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

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

Modeling and Simulation of Nanopore Sensors

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

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

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 wh…

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

Version controlled data for AlphaGo repository

The Udacity open source self-driving car project

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

Sloika is Oxford Nanopore Technologies' software for training neural network models for base calling

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

First generation RNN basecaller

A collection of deep learning tutorials using Tensorflow and Python

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

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

Gaussian mixture model for incomplete, truncated, and noisy data

Summaries and notes on recent Deep Learning literature

Practical Examples for RNNs in Tensorflow

Coupled dipole approximation in python

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