ChristophWuersch
Christoph Würsch studied physics at the Swiss Federal Institute of Technology (ETH) in Lausanne and Zurich, where he graduated in 1994 and got his doctorate.
Ostschweizer Fachhochschule OST, Institute for Compuational Engineering ICEBuchs SG, Switzerland
Pinned Repositories
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
alphafold
Open source code for AlphaFold.
AppliedNeuralNetworks
Course ANN, OST Eastern Switzerland University of Applied Sciences
background_removal
Background Removal using mediapipe
bert
TensorFlow code and pre-trained models for BERT
ceviche
:shrimp: Electromagnetic Simulation + Automatic Differentiation
CFDPython
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
ColabSource
Files for upload in Google Colab
comp-phys
Computational Physics
Computational-statistics-with-Python
Resources for STA 633 class
ChristophWuersch's Repositories
ChristophWuersch/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
ChristophWuersch/alphafold
Open source code for AlphaFold.
ChristophWuersch/AppliedNeuralNetworks
Course ANN, OST Eastern Switzerland University of Applied Sciences
ChristophWuersch/background_removal
Background Removal using mediapipe
ChristophWuersch/CFDPython
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
ChristophWuersch/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
ChristophWuersch/deeplearning-models
A collection of various deep learning architectures, models, and tips
ChristophWuersch/hopfield-layers
Hopfield Networks is All You Need
ChristophWuersch/intro_dgm
"Deep Generative Modeling": Introductory Examples
ChristophWuersch/jetracer
An autonomous AI racecar using NVIDIA Jetson Nano
ChristophWuersch/learnopencv
Learn OpenCV : C++ and Python Examples
ChristophWuersch/lilianweng.github.io
My personal page
ChristophWuersch/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
ChristophWuersch/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
ChristophWuersch/pardiso4py
Python interface to the Intel MKL Pardiso library to solve large sparse linear systems of equations
ChristophWuersch/pyamg
Algebraic Multigrid Solvers in Python
ChristophWuersch/pykan
Kolmogorov Arnold Networks
ChristophWuersch/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
ChristophWuersch/satw
ChristophWuersch/simple_rl
A simple framework for experimenting with Reinforcement Learning in Python.
ChristophWuersch/SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
ChristophWuersch/spinningup
An educational resource to help anyone learn deep reinforcement learning.
ChristophWuersch/stat453-deep-learning-ss21
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
ChristophWuersch/stochastic-expatriate-descent
An expat scientist's musings about machine learning, deep learning, and living abroad.
ChristophWuersch/text
Making text a first-class citizen in TensorFlow.
ChristophWuersch/TF_models
Models and examples built with TensorFlow
ChristophWuersch/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
ChristophWuersch/tutorials
Tutorials on deep learning, Python, and dissipative particle dynamics
ChristophWuersch/udlbook
Understanding Deep Learning - Simon J.D. Prince
ChristophWuersch/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023