Pinned Repositories
.doom.d
.emacs.d
general_relativity
A textbook on Einstein's theory of general relativity.
yochju's Repositories
yochju/.doom.d
yochju/.emacs.d
yochju/abseil-cpp
Abseil Common Libraries (C++)
yochju/arrayfire
ArrayFire: a general purpose GPU library.
yochju/autodiff
automatic differentiation made easier for C++
yochju/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
yochju/bcc
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
yochju/chainer
A flexible framework of neural networks for deep learning
yochju/clawpack
Package for solving hyperbolic systems of partial differential equations
yochju/conan
Conan.io - The open-source C/C++ package manager
yochju/CppAD
A C++ Algorithmic Differentiation Package: Home Page
yochju/CppADCodeGen
Source Code Generation for Automatic Differentiation using Operator Overloading
yochju/dap-mode
Debug Adapter Protocol for Emacs
yochju/dldt
Deep Learning Deployment Toolkit
yochju/emacs-gdb
GDB graphical interface for GNU Emacs
yochju/essentia
C++ library for audio and music analysis, description and synthesis, including Python bindings
yochju/flashlight
A C++ standalone library for machine learning
yochju/flex
The Fast Lexical Analyzer - scanner generator for lexing in C and C++
yochju/gdb-dashboard
Modular visual interface for GDB in Python
yochju/gym
A toolkit for developing and comparing reinforcement learning algorithms.
yochju/leetcode-1
LeetCode Problems' Solutions
yochju/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
yochju/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.
yochju/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/.
yochju/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
yochju/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 ;)
yochju/qutebrowser
yochju/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
yochju/scripts
yochju/stats
A C++ header-only library of statistical distribution functions.