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accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) that I have written in my website. Especially, Natural Language Processing, Statistical Machine Learning, and Deep Reinforcement Learning are main topics.

agriculture_bigdata

Social and ethical implications of Big Data

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

aix_references

awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

baleen

An automated ingestion service for blogs to construct a corpus for NLP research.

char-rnn-tensorflow

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

classifyimages

Collection of ways to classify images

code

ActiveState Code Recipes

coffeefutures

Algorithmic Trading of Coffee Futures with Machine Learning

coffeerust

Data visualizations to quantify and explore the relationship between coffee rust, production and futures.

cognitive-vision-python

Python SDK for the Microsoft Computer Vision API, part of Cognitive Services

commerce_data_academy_courses

Course materials offered by the Commerce Data Academy

competitive-data-science

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

content

Official content for Harvard CS109

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

coursera_training

Exploratory code for Coursera courses in 2018

d3-resume

D3.js based resume visualizer

datavizmisc

Miscellaneous Data Visualizations

deeplearning-udacity

Example Python code from Udacity's Deep Learning course

demark

Demonstrations of how to use material in the Econ-ARK

dengue_earlywarning

dvc-walkthrough

A walkthrough of essential DVC features (including tutorial text as well as a working environment).

dviz-course

Data visualization course material

economicaid

Machine learning to predict US foreign economic aid

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

emergency_routes

UCD Emergency_Route Visual Interfaces

eye

Python code that uses machine learning (neural networks) and computer vision to classify images based on identified features. The classification is stored within the image file (as tags). This allows to search images based on features (e.g. searching for ‘cat’ will return images with cat). The program uses Keras with TensorFlow.

face_tracking

face tracking and emotion API

fastai-v3

Starter app for fastai v3 model deployment on Render