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acm-aitp-coursepro

An NC State-themed software application that will help students manage, organize, and prepare for their courses. The software project of ACM/AITP student organization at NC State.

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.

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-semi-supervised-learning

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

clustering-local-learning-svm-for-text-mining

complexity-report

**UNMAINTAINED** Software complexity analysis for JavaScript projects

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

entity-recognition-datasets

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

expertiza

Expertiza is a web application where students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.

expertiza_e1792

fake-news-stance-detection

Checks for the Stance detection in a unlabeled news dataset.

fss17_group_l

Building a data miner

github_access

gpy

Gaussian processes framework in python

hello-world

This is your first repository

hw_test

kernel_two_sample_test

A python implementation of the kernel two-samples test as in Gretton et al 2012 (JMLR).

lda_fft

LDA, TF-IDF against SVM, RF, DT, FFT (Text Mining)

music_hit_prediction_-acoustic_data

This project is for predicting whether a song will be a hit song or not depending on the acoustic properties of song

my_data

my_project

My personal Repo

noml

A notebook for machine learning interview

openmrs-core

OpenMRS API and web application code

project_codenet

This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

python-neural-network

This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind.

python-programming-exercises

100+ Python challenging programming exercises

revisit_process_product

Revisiting Process versus Product Metrics: a LargeScale Analysis

scikit-feature

open-source feature selection repository in python (DMML Lab@ASU)

semi-supervised

semisup-learn

Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data