gaurav-singh1998 Goto Github PK

abc_notation_music_generation

This is my first deep learning project in which I implemented a LSTM model on abc notation music data.

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

aind-nlp

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

augmentor

Image augmentation library in Python for machine learning.

c-cmaes

CMA-ES written in ANSI C (yet fairly object-oriented)

cgt

Computation Graph Toolkit

chapel

a Productive Parallel Programming Language

cma-es_supermario

covariance matrix adaptation evolution strategy for mlpack

codeforces

codeforces solutions

competitive-programming

Repository of all my submissions to some competitive programming website (Online Judges), as well as, the implementation of some data structures and algorithms.

competitive-programming-book

Data Structures & Algorithms From Competitive Programming Book

cpp_practice_questions

cycle_gan

Cycle GAN in Tensorflow 2.0

datasets

A collection of datasets ready to use with TensorFlow

deep-learning-tricks

Enumerate diverse machine learning training tricks.

e-maxx-eng

Translation of http://e-maxx.ru into English

ensmallen

A header-only C++ library for mathematical optimization --

flowpoints_ml

An intuitive approach to creating deep learning models

front-end-interview-handbook

🕸 No-bullshit answers to the famous h5bp "Front-end Job Interview Questions"

gan_in_numpy

I implemented GAN on MNIST data using only numpy.

gil

Boost.GIL - Generic Image Library | Requires C++11 since Boost 1.68

google_summer_of_code_2017

Summary of my work done in GSoC with MLPack

graph

jukebox

Code for "Jukebox: A Generative Model for Music"

karngyan.com

Dark themed, SEO friendly: Nuxt Content + TailwindCSS + Firebase + i18n based SPA for procrastinating developers to quickly spin up their own kickass blog and showcase their projects.

libcmaes

libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy

mini-terminal

mlpack

mlpack: a scalable C++ machine learning library --

models

Pre-built mlpack models

practice_notebooks

This repository contains all the notebooks that I used for practicing and learning different Machine Learning models.