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Name: David Dzakpasu
Type: User
Name: David Dzakpasu
Type: User
Exercises and supplementary material for the deep learning course 02456.
ABCinML: Anticipatory Bias Correction in Machine Learning Applications
Prediction of Adult Census Income dataset using different classification models
Preprocessing and modelling of the adult dataset from UCI. The model achieved an 84% accuracy.
Python features such as object-oriented special class methods, use logging to track performance and user activity, porting code from Python 2 to 3, and make your code more efficient and easier to read and maintain.
The reusable codes for KDD'19 research track paper: Adversarial Variational Embedding for Robust Semi-supervised Learning
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.
AMMI Course on Fairness and Privacy in Machine Learning
Autoencoder on tabular data
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
A curated list of awesome Machine Learning frameworks, libraries and software.
Papers and online resources related to machine learning fairness
A basic neural network in PyTorch
Code implements empirical and model-based fairness estimation from the paper - Bayesian Modeling of Intersectional Fairness: The Variance of Bias
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
causaleffect: R package for identifying causal effects.
Coursera's Machine Learning by Andrew Ng
Algorithm Fairness in Machine Learning Homeworks
CSC 2541F: AI and Ethics: Mathematical Foundations and Algorithms Fall, 2019
For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
Data Analytics 414
Config files for my GitHub profile.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.