Joseph Nagel (joseph-nagel)

joseph-nagel

User data from Github https://github.com/joseph-nagel

Company:Unemployed

Location:Munich, Germany

Home Page:https://joseph-nagel.github.io/

GitHub:@joseph-nagel

Joseph Nagel's starred repositories

DDPM-DDIM-Diffusion-Models

DDPM from scratch, sampling & training diffusion models, building neural networks for noise prediction, & personalized image generation

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siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

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pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

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uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

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learn-jax

Repository to store my learning experiences with JAX

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beautiful-jekyll

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

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minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

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jekyll-theme-basically-basic

Your new Jekyll default theme.

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lego-art-remix

Powerful computer vision assisted Lego mosaic creator · Over 1 million images created (so far!)

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Legofy

Make images look as if they are made out of 1x1 LEGO blocks

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sysidentpy

A Python Package For System Identification Using NARMAX Models

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bayesflow

A Python library for amortized Bayesian workflows using generative neural networks.

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UQpy

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

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bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

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chaospy

Chaospy - Toolbox for performing uncertainty quantification.

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emukit

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

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tinygp

The tiniest of Gaussian Process libraries

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adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

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MeshDiffusion

Official implementation of "MeshDiffusion: Score-based Generative 3D Mesh Modeling" (ICLR 2023 Spotlight)

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deepxde

A library for scientific machine learning and physics-informed learning

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simulai

A toolkit with data-driven pipelines for physics-informed machine learning.

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harmonic-oscillator-pinn

Code accompanying my blog post: So, what is a physics-informed neural network?

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PDEBench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

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neurodiffeq

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

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InverseRigMapping

Inverse Rig Mapping is a toolset for Maya to map skeletal animation data e.g. mocap data back to arbitrary character rigs using machine learning.

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transformers_from_scratch

Accompanying repository for this blogpost: https://www.lesswrong.com/posts/98jCNefEaBBb7jwu6/building-a-transformer-from-scratch-ai-safety-up-skilling

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ddpm-torch

Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

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simple-diffusion-model

An implementation of a denoising diffusion probabilistic model using PyTorch Lightning

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DDPM

PyTorch DDPM implementation

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minDiffusion

Self-contained, minimalistic implementation of diffusion models with Pytorch.

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