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appliedml_coursera

Programming tasks to the University of Michigan's "Applied Machine Learning in Python" course.

assembler-master

This assembler is a 2 pass assembler in C language.The first pass seperates the jump statements into a file symbols.txt and the second pass converts the source code into machine language and stores the output in output.txt

awesome-datascience

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

awesome-deep-learning

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

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

caia_project

capstone_ml_ibm

data-science-ipython-notebooks

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

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deeplearning_coursera

Deep Learning Specialization

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

imageanalysis2labs

Image Analysis II Lab Assignments

imageanalysislab

Computer Assisted Image Analysis Lab Code and Report

intel_classification

Practice Problem Intel Scene Classification Challenge

kaggle_dogvscat

ldsa_lab2

Jupyter Notebook for LDSA Lab2 Spark Assignment

ldsaproject

machine-learning-links-and-lessons-learned

List of all the lessons learned, best practices, and links from my time studying machine learning

machinelearninglab

mind-expanding-books

:books: Books that will blow your mind

mlcourse.ai

Open Machine Learning Course

mnist_digit

MNIST_DIGIT Model

plinth_2

Lnmiit Technical Fest App

practicalai

A practical approach to learning machine learning.

pyspider

A Powerful Spider(Web Crawler) System in Python.

sml_project

Statistical Machine Learning

social_network_analysis

solutions

Solutions for projects.

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning