Christoph Haring's repositories

ILearnDeepLearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

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Quantum-Multi-Agent-Reinforcement-Learning

Quantum Multi-agent Reinforcement Learning (QMARL)

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advanced_machine_learning

Code to go along the lecture course "Advanced Machine Learning for Physics, Science, and Artificial Scientific Discovery"

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alphazero

Complete implementation of the AlphaZero algorithm

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Automated-custom-Scaled-YOLOv4-object-detection-model-training-for-total-beginners-

Fully automated dataset dowlnoad, dataset preparation and Scaled-YOLOv4 object detection model training and inference for total beginners on free GPU - No coding or AI skills needed)

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Binary_Classification_Pennylane_Keras

Classical-Quantum hybrid model for credit card fraud detection

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CLRS

📚 Solutions to Introduction to Algorithms Third Edition

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cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

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cs231n-1

Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

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flutter_switch_color_controller_riverpod

riverpod implementation of controller app

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FreeWork3.github.io

Webpage for mobile AppDev for FreeWork ecosystem

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handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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harmonic-oscillator-pinn

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

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ics438f22

ICS 438 Big Data Analytics

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InvokeAI

InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

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machine-learning-for-physicists

Code for "Machine Learning for Physicists 2020" lecture series

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material-components-flutter-codelabs

Codelabs for Material Components for Flutter

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normalizing-flows

PyTorch implementation of normalizing flow models

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ORE607

Water Wave Mechanics

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PWF2021

Official Repository for Machine Learning class - Physics Without Frontiers 2021

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python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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qiskit-machine-learning

Quantum Machine Learning

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Quantum-Physics-Informed-Neural-Network

Continuous Variable Quantum Physics Informed Neural Network for the Solution of 1D Poisson Equation.

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QuantumKatas

Tutorials and programming exercises for learning Q# and quantum computing

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skills-github-pages

My clone repository

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starter_architecture_flutter_firebase

Time Tracking app with Flutter & Firebase

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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WW3

WAVEWATCH III

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