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538model

538 Election Forecasting Model

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

activity-recognition

adjoint-variable-based-algorithm

Adjoint variable-based algorithm-- a gradient descent algorithm for estimating parameters

aerosolve

A machine learning package built for humans.

ai-deadlines

:alarm_clock: AI conference deadline countdowns

alchemyapi-recipes-twitter

A simple example application that will connect to the Twitter API, run a search, gather tweets, and then calculate the sentiment of each Tweet using AlchemyAPI's text analysis functions for sentiment analysis.

algo

Collection of problems from algorithm contests

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

awesome-datascience

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

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-machine-learning

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

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-python-books

:books: Directory of Python books

bda_py_demos

Bayesian Data Analysis demos for Python

brightwork

This workshop was given as an introduction to using python for scientific and other data intensive purposes. The examples are related to bench top laboratory data analysis. The speaker is Shane Neeley, a bioengineering masters student at Rice University and it was hosted by Brightwork CoResearch, an independent research and entrepreneurship facility in Houston, Texas.

code_py

A collection of well-commented code snippets for data science

computelibrary

The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.

content

Official content for Harvard CS109

cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

courses

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

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

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.

data-science-machine-learning-ai-big-data-resources

A curated set of resources for data science, machine learning, artificial intelligence (AI), big data, and more. Includes links, notebooks, articles, books, cheat sheets, whitepapers, lists, and technical papers

dataaugmentationforobjectdetection

Data Augmentation For Object Detection

datasciencepython

common data analysis and machine learning tasks using python

deelearning-hackerearth

Code for the Deep Learning HackerEarth Challenge #1

deep-learning

Deep learning platform written in C++

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"