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client

Gingko desktop client. Written in Elm, running in Electron.

cmake-tutorial

CMake tutorial: beamer presentation and sample code

coding-druid

"Coding Druid" series is my horizontal programming practice notes, each part around a topic (mathematical physics electronic graphics sound...), implemented in several programming languages.

colabtools

Python libraries for Google Colaboratory

convolutional-neural-network

Implementation of CNN using Verilog

coursera

Script for downloading Coursera.org videos and naming them.

cplusplus-concurrency-in-practice

A Detailed Cplusplus Concurrency Tutorial 《C++ 并发编程指南》

creditdefaultswappricer

Credit Default Swap Pricer

cs373

Homework for Course cs373: Programming a Robotic Car

csl-traffic

A WIP mod for Cities: Skylines to improve traffic.

csur

Offline procedural generation of realistic road environments in Cities: Skylines

ctex-doc

Documents for Chinese TeX users

ctex-kit

Macro Packages and Scripts for Chinese TeX users

cycloiddrawingmachine

A simulation of Joe Freedman's Cycloid Drawing Machine from Kickstarter

data-science-from-scratch

code for Data Science From Scratch book

data8-textbook-zh

:book: [译] 计算与推断思维 中文版

dawp

Derivatives Analytics with Python (Wiley Finance)

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-rl

Collection of Deep Reinforcement Learning algorithms

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

deeplearningvideogames

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dff

Code for Dynamic Feature Fusion for Semantic Edge Detection https://arxiv.org/abs/1902.09104

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

drl

Deep Reinforcement Learning

dsge.jl

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

dsge_mod

A collection of Dynare models