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/pbdl-book
Welcome to the Physics-based Deep Learning Book (v0.1)
linusec/Ax
Adaptive Experimentation Platform
linusec/baal
Using approximate bayesian posteriors in deep nets for active learning
linusec/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
linusec/ConstraintBOUUVHullDesign
A ready to use software pipe line for Constraint Bayesian Optimization for UUV hull design
linusec/dask-tutorial
Dask tutorial
linusec/deep-learning-from-scratch-pytorch
Deep Learning from Scratch with PyTorch
linusec/deepqmc
Deep learning quantum Monte Carlo for electrons in real space
linusec/dirichletcal.github.io
Dirichlet calibration website
linusec/DL-blog
Public repo for HF blog posts
linusec/foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
linusec/fourier_neural_operator
linusec/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
linusec/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
linusec/MAVEN
Submission for MAVEN: Multi-Agent Variational Exploration
linusec/Numpy-Tutorial-SciPyConf-2020
Numpy-Tutorial-SciPyConf-2020
linusec/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
linusec/pde-dataset-generator
A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
linusec/PhiFlow
A differentiable PDE solving framework for machine learning
linusec/PracticalSessions2020
Repository for tutorial sessions at EEML2020
linusec/pysal-scipy20
linusec/pytorch-Deep-Learning
Deep Learning (with PyTorch)
linusec/scipy-2020-intro-to-python
Introduction to Python Tutorial at SciPy 2020
linusec/scipy-2020-pandas
Learn Python through Data Processing in Pandas Tutorial
linusec/SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
linusec/smac
SMAC: The StarCraft Multi-Agent Challenge
linusec/SPINN
Sparse Physics-based and Interpretable Neural Networks
linusec/StarCraft
Implementations of QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
linusec/tutorial
linusec/tutorial-1
A tutorial for widgets