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Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
Interpretability and explainability of data and machine learning models
Distributed Tensorflow, Keras and BigDL on Apache Spark
Efficiently computes derivatives of numpy code.
Adaptive Experimentation Platform
Azure Data Studio is a data management tool that enables working with SQL Server, Azure SQL DB and SQL DW from Windows, macOS and Linux.
Using approximate bayesian posteriors in deep nets for active learning
How to do Bayesian statistical modelling using numpy and PyMC3
A ready to use software pipe line for Constraint Bayesian Optimization for UUV hull design
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Dask tutorial
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Deep Learning from Scratch with PyTorch
Deep learning quantum Monte Carlo for electrons in real space
Dirichlet calibration website
Public repo for HF blog posts
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
A highly efficient and modular implementation of Gaussian Processes in PyTorch
This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Teaching and Learning with Jupyter
Kalman Filter implementation in Python using Numpy only in 30 lines.
Towards Learning the Temporal Evolution of Fluid Flow
A collection of infrastructure and tools for research in neural network interpretability.
Submission for MAVEN: Multi-Agent Variational Exploration
Numpy-Tutorial-SciPyConf-2020
This is the source code for the 2017 ToG paper "Interpolations of Smoke and Liquid Simulations"
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Welcome to the Physics-based Deep Learning Book (v0.1)
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.