yaoyang33

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.

bsd

Bias Statement Detector (BSD) computationally detects and quantifies the degree of bias in sentence-level text of news stories.

challenges

PyBites Code Challenges

HIV-xwas

HIV risk analysis using sparse DHS data

renewal_analysis

contract renewal analysis for an online real-estate marketplace

business_embeddings

Generating business embeddings using the Yelp Academic Dataset

interpretable-ml-book

Book about interpretable machine learning

Inuktitut-MT-master

machine translation project from Inuktitut to English

yours-sincerely

Endless senseless collaborative book

adv-attacks-pytorch-101

A small tutorial about performing adversarial attacks in PyTorch

AmpliGraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Codes

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

deep-news-summarization

News summarization using sequence to sequence model with attention in TensorFlow.

fastText

Library for fast text representation and classification.

google-research

Google Research

GraphGym

Platform for designing and evaluating Graph Neural Networks (GNN)

HpBandSter

a distributed Hyperband implementation on Steroids

juice

The Hacker's Machine Learning Engine (formerly known as leaf)

modAL

A modular active learning framework for Python3

nipype

Workflows and interfaces for neuroimaging packages

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

Practical-Time-Series-Analysis

Practical Time-Series Analysis, published by Packt

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

Surface-Defect-Detection

📈 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

tensorflow

Computation using data flow graphs for scalable machine learning

tinyml

yaoyang33.github.io

zEpid

Epidemiology analysis package