girishgupta Goto Github PK

2015

Public material for CS109

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-free-deep-learning-papers

awesome-machine-learning

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

awesome-rl

Reinforcement learning resources curated

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

big-mart-sales

cadl

Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

cadl-master

CADL Assignments

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

cnn_assignments

Convolutional Neural Networks Assignments

cnntutorials

competitive-data-science

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

convolutional-neural-net-coursera

My assignments for deep learning course 4

course-v3

The 3rd edition of course.fast.ai

coursera-applied-data-science-with-python

Repo for coursera specialization Applied Data Science with Python by University of Michigan

courses

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

courses-1

fast.ai Courses

cs224n

Assignment solutions CS224n: Natural Language Processing with Deep Learning (winter-2017)

cs224n-1

Solutions to assignments for cs224n Natural Language Processing with Deep Learning class

cs224n-2

Solutions for Stanford CS224n: Natural Language Processing with Deep Learning

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

cs231n.github.io

Public facing notes page

dat7

General Assembly's Data Science course in Washington, DC

data

Data and code behind the stories and interactives at FiveThirtyEight

data-science-ipython-notebooks

Recently updated with 50 new 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.

dataanalysis

The lecture slides for Coursera's Data Analysis class

datasciencecoursera

Course content of Data science tool box

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization