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1m-go-websockets

handling 1M websockets connections in Go

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

automated-trading-with-r

Source code for 'Automated Trading with R' by Christopher Conlan

awesome-cpus

All CPU and MCU documentation in one place

bayesian-analysis-with-python

Bayesian Analysis with Python by Packt

bda_r_demos

Bayesian Data Analysis demos for R

chernozhukov-hong

Illustrating the Chernozhukov-Hong (2003) MCMC approach to classical estimation.

cmake-project-template

This project is aimed at jump-starting a C/C++ project that can build libraries, binaries and have a working unit test suite. It uses CMake build system and is deliberately completely minimal.

dash-volatility-surface

Volatility surface explorer in pure Python

data-science-cheatsheet

dataframe

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

differential-evolution

Single header c++ implementation of Differential Evolution algorithm for general purpose optimization.

dinossauro-google

Rede Neural aplicada ao jogo do Dinossauro do Google Chrome!

dx

DX Analytics | Financial and Derivatives Analytics with Python

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

firacodeiscript

Mashup Font of FiraCode and Script12

ggplot2_workshop

Material for "Drawing Anything with ggplot2" workshop

gowebapp

Basic MVC Web Application in Go

gwp

Go Web Programming code repository

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hls-downloader

Download all video files from HLS (HTTP Live Streaming) VoD (Video on Demand) m3u8 playlist for local playback

hmmds

Automatically exported from code.google.com/p/hmmds

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.

kalman_python_cpp

Source code for https://www.youtube.com/playlist?list=PLvKAPIGzFEr8n7WRx8RptZmC1rXeTzYtA

lime

Lime: Explaining the predictions of any machine learning classifier

loss-landscape

Code for visualizing the loss landscape of neural nets

lstm-rnn

long short-term memory for recursive neural network model

machine-learning

:earth_americas: machine learning tutorials (mainly in Python3)