albinjames

PlotNeuralNet

Latex code for making neural networks diagrams

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.

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

stk-code

The code base of supertuxkart

python3_with_pleasure

A short guide on features of Python 3 with examples

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

deepspeech.pytorch

Speech Recognition using DeepSpeech2.

audioset_tagging_cnn

Kalman

Some Python Implementations of the Kalman Filter

UCR_Time_Series_Classification_Deep_Learning_Baseline

Fully Convlutional Neural Networks for state-of-the-art time series classification

jupyter-resource-usage

Jupyter Notebook Extension for monitoring your own Resource Usage

DeepHPMs

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

tftb

A Python module for time-frequency analysis

infiniteboost

InfiniteBoost: building infinite ensembles with gradient descent

hep_ml

Machine Learning for High Energy Physics.

dtcwt

Python port of the Dual-Tree Complex Wavelet Transform toolbox for MATLAB

MLatImperial2017

Materials for the course of machine learning at Imperial College organized by Yandex SDA

Hilbert-Huang-transform

A demo of using Hilbert-Huang Transform (HHT) for non-stationary and non-linear signal analysis.

learn-wavelets

Jupyter notebooks to keep my learning notes about wavelet theory

eboard

eboard FICS client

lwa-hot-corners

batch_5_transplant

Projet de prédiction de transplantation pulmonaire en partenariat avec l'hôpital Foch

Deep-Belief-Networks-Tensorflow

Tensorflow implementation of a Deep Belief Network on MNIST

Simplified-Restricted-Boltzmann-Machines

Tensorflow implementation of Restricted Boltzmann Machine with Contrastive Divergence

reservoir_nn

Numerical-Methods-for-Physics

Numerical methods and exercises for Physics and Astrophysics: Integration and Differentiation,Ordinary Differential Equations, Linear Algebra and FFTs, Advection and Hyperbolic Partial Differential Equations, Elliptic Partial Differential Equations, Computational Fluid Dynamics.

Chaos

Using machine learning techniques for prediction and modelling non linear dynamic systems.

circor

Heart_sounds_project

ARIMA

testing the quality of ARIMA fitting

gnuchess-snap

Snap packaging for GNU Chess