linusec's repositories
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
ConstraintBOUUVHullDesign
A ready to use software pipe line for Constraint Bayesian Optimization for UUV hull design
dask-tutorial
Dask tutorial
deep-learning-from-scratch-pytorch
Deep Learning from Scratch with PyTorch
dirichletcal.github.io
Dirichlet calibration website
DL-blog
Public repo for HF blog posts
foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
MAVEN
Submission for MAVEN: Multi-Agent Variational Exploration
Numpy-Tutorial-SciPyConf-2020
Numpy-Tutorial-SciPyConf-2020
orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
pde-dataset-generator
A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
PhiFlow
A differentiable PDE solving framework for machine learning
PracticalSessions2020
Repository for tutorial sessions at EEML2020
pytorch-Deep-Learning
Deep Learning (with PyTorch)
scipy-2020-intro-to-python
Introduction to Python Tutorial at SciPy 2020
scipy-2020-pandas
Learn Python through Data Processing in Pandas Tutorial
smac
SMAC: The StarCraft Multi-Agent Challenge
SPINN
Sparse Physics-based and Interpretable Neural Networks
StarCraft
Implementations of QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
tutorial-1
A tutorial for widgets