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2018-msan697-example

coursework

cs-video-courses

List of Computer Science courses with video lectures.

cs131_notes

Class notes for CS 131.

cs131_release

Released assignments for the fall 2017 iteration of CS131.

cs20

CS20 : Tensorflow for Deep Learning Research의 내용 및 코드를 정리

cs20si

My solutions to Stanford's CS20si: Tensorflow for Deep Learning Research.

cs224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

cs224n-winter-2017

All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford

cs231a-spr1617

Computer Vision: From 3D Reconstruction to Recognition

cs294

Deep Reinforcement Learning Homework

cvproj

STAT 441 W18 final project -- Face Verification

deep-learning-coursera

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-learning-nd

Udacity Deep learning nanodegree projects

deepslam

Replicating Convolutional Neural Network-based Place Recognition for STAT946

distributed-tensorflow-guide

Distributed TensorFlow basics and examples of training algorithms

drl

Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning

dse210_probability_statistics_python

Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)

dse230_data_analysis_using_hadoop_and_spark_ucsd

Map-reduce, streaming analysis, and external memory algorithms and their implementation using the Hadoop and its eco-system: HBase, Hive, Pig and Spark. The class will include assignment of analyzing large existing databases.

effectivetensorflow

TensorFlow tutorials and best practices.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

learn_deep_learning_in_6_weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

learningpyspark

Code base for the Learning PySpark book (in preparation)

multi-class-text-classification-cnn

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

mydeeplearning

A deep learning library to provide algs in pure Numpy or Tensorflow.

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

numpy-neuralnet-exercise

Implementation of key concepts of neuralnetwork via numpy

python-for-probability-statistics-and-machine-learning

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

spark-py-notebooks

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.