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Code for my 250B class
Code base for CS 250B (Principles of Artificial Intelligence) projects.
Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking attacks and defenses.
Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.11953
FakeFinder builds a modular framework for evaluating various deepfake detection models, offering a web application as well as API access for integration into existing workflows.
A relatively efficient implementation for calculating the information transmitted by a common neural population model, with joblib enabled thread parallelism.
A set of tools for estimating information transmission from neural responses
This is the official location of the Kaldi project.
A framework for modeling and simulating dynamical systems
Demonstrating covariate shift detection using VOiCES
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
A tensorflow implementation for a differentiable stochastic estimator of the information transmitted by a layer of binary neurons
A tensorflow implementation of the Sinkhorn Distance calculation
Toy example of an applied ML pipeline for me to experiment with MLOps tools.
Scripts and utilities for working with the VOiCES dataset.
Scripts and Utilities for working with the VOiCES dataset
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.