yochju

.doom.d

.emacs.d

abseil-cpp

Abseil Common Libraries (C++)

arrayfire

ArrayFire: a general purpose GPU library.

autodiff

automatic differentiation made easier for C++

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

bcc

BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more

chainer

A flexible framework of neural networks for deep learning

clawpack

Package for solving hyperbolic systems of partial differential equations

conan

Conan.io - The open-source C/C++ package manager

CppAD

A C++ Algorithmic Differentiation Package: Home Page

CppADCodeGen

Source Code Generation for Automatic Differentiation using Operator Overloading

dap-mode

Debug Adapter Protocol for Emacs

dldt

Deep Learning Deployment Toolkit

emacs-gdb

GDB graphical interface for GNU Emacs

essentia

C++ library for audio and music analysis, description and synthesis, including Python bindings

flashlight

A C++ standalone library for machine learning

flex

The Fast Lexical Analyzer - scanner generator for lexing in C and C++

gdb-dashboard

Modular visual interface for GDB in Python

gym

A toolkit for developing and comparing reinforcement learning algorithms.

leetcode-1

LeetCode Problems' Solutions

Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

math

The Stan Math Library is a C++, reverse-mode automatic differentiation library designed to be usable, extensive and extensible, efficient, scalable, stable, portable, and redistributable in order to facilitate the construction and utilization of algorithms that utilize derivatives.

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

optional-lite

optional lite - A C++17-like optional, a nullable object for C++98, C++11 and later in a single-file header-only library

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

qutebrowser

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

scripts

stats

A C++ header-only library of statistical distribution functions.