suryaday Goto Github PK

followers: 9.0 following: 33.0 repos: 64.0 gists: 0.0

Name: Suryaday Nath

Type: User

Bio: Marketing and IT/Analytics graduate from one of the top 20 B.Schools in India. An aspiring Data Scientist.

Location: India

Blog: https://www.quora.com/profile/Suryaday-Nath

Suryaday Nath's Projects

aerosolve

A machine learning package built for humans.

ai_for_music_composition

This is the code for "AI for Music Composition" by Siraj Raval on Youtube

analyze-ab-test-results-udacity-data-analyst-nanodegree

This project will assure you have mastered the subjects covered in the statistics lessons. The hope is to have this project be as comprehensive of these topics as possible.

applied-ml

📚 Papers & articles of companies sharing their work on applied data science & machine learning.

autorccar

OpenCV Python Neural Network Autonomous RC Car

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

caffe

Caffe: a fast open framework for deep learning.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

codinginterviews

This repository contains coding interviews that I have encountered in company interviews

communicate-data-findings

Udacity's Data Analyst Nanodegree - Project 5

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-science-at-the-command-line

Data Science at the Command Line

data-science-best-resources

Carefully curated resource links for data science in one place

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-scientist-roadmap

Toturial coming with "data science roadmap" graphe.

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

david-cope-cmmc

LISP source code for David Cope's book "Computer Models of Musical Creativity".

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

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.