Pinned Repositories
adversarial-robustness-toolbox
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
AIX360
Interpretability and explainability of data and machine learning models
analytics-zoo
Distributed Tensorflow, Keras and BigDL on Apache Spark
autograd
Efficiently computes derivatives of numpy code.
Ax
Adaptive Experimentation Platform
azuredatastudio
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.
baal
Using approximate bayesian posteriors in deep nets for active learning
bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
pbdl-book
Welcome to the Physics-based Deep Learning Book (v0.1)
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
linusec's Repositories
linusec/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
linusec/adversarial-robustness-toolbox
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
linusec/AIX360
Interpretability and explainability of data and machine learning models
linusec/analytics-zoo
Distributed Tensorflow, Keras and BigDL on Apache Spark
linusec/autograd
Efficiently computes derivatives of numpy code.
linusec/azuredatastudio
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.
linusec/CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
linusec/deep-fluids
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
linusec/interval-bound-propagation
This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715
linusec/jupyter-edu-book
Teaching and Learning with Jupyter
linusec/kalman-filter
Kalman Filter implementation in Python using Numpy only in 30 lines.
linusec/LatentSpacePhysics
Towards Learning the Temporal Evolution of Fluid Flow
linusec/lucid
A collection of infrastructure and tools for research in neural network interpretability.
linusec/ofblend
This is the source code for the 2017 ToG paper "Interpolations of Smoke and Liquid Simulations"
linusec/PDE-Control
Code for the ICLR 2020 paper "Learning to Control PDEs"
linusec/pg_dip
Progressively Grown Deep Image Prior
linusec/Polygames
The project is a platform of zero learning with a library of games.
linusec/ProtoPNet
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).
linusec/pymarl
Python Multi-Agent Reinforcement Learning framework
linusec/ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
linusec/riemann_book
An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks. Work in progress.
linusec/secML.github.io
Website for Security and Privacy of Machine Learning
linusec/sktime
A scikit-learn compatible Python toolbox for learning with time series data
linusec/tempoGAN
Source code for the SIGGRAPH paper "tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow"
linusec/TorchCraftAI
A platform that lets you build agents to learn to play StarCraft: Brood War.
linusec/tunasync
Mirror job management tool.
linusec/VarNet
Variational Neural Networks for the Solution of Partial Differential Equations