ksauka Goto Github PK
Name: Sauka
Type: User
Company: Hogeschool Van Amsterdam
Twitter: KSauka
Location: Netherlands
Name: Sauka
Type: User
Company: Hogeschool Van Amsterdam
Twitter: KSauka
Location: Netherlands
Bayesian or-of-and
Bayesian Optimization of Risk Measures
CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
ChatGPT-related papers
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
A challenge to explore adversarial robustness of neural networks on CIFAR10.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Source for paper "Attacking Binarized Neural Networks"
Overview of clustering algorithms with python implementations.
This repository is to demonstrate the descriptions and difference between clustering methods, such as K-means, Agglomerative Clustering, Gaussian Mixture Model, DBSCAN, Spectral Clustering.
This repository contains all the popular Competitive Programming and DSA questions with solutions for your Coding Interview Preparation.
Here you will find materials for the course of Computational Finance
Counterfactual Explanation Based on Gradual Construction for Deep Networks Pytorch
The Hugging Face course on Transformers
"Overview on Validity of Network-based Adversarial Training"
Predict Cryptocurrency Price with Deep Learning
A dating application built on Python's Django
Car Plate Recognition System
:satellite: All You Need to Know About Deep Learning - A kick-starter
Deep Learning Specialization by Andrew Ng on Coursera.
Using recurrent neural networks (RNNs) to predict bitcoin prices.
Stock Price Predictor
Deep Image Inpainting using UNET like Vanilla Autoencoder and Partial Convolution based Autoencoder.
Generate Diverse Counterfactual Explanations for any machine learning model.
Heuristic best-first algorithm for computing Evidence Counterfactuals (SEDC): explaining the model predictions of any classifier using a minimal set of features, such that removing these features results in a predicted class change.
A MNIST-like fashion product database. Benchmark :point_down:
A curated list of practical financial machine learning tools and applications.
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.