ghellstern
Prof. in Finance and related Computer Science. Interested in Machine Learning, Simulation, Network models, R and Python
Germany
Pinned Repositories
awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
CollabCoder
d2l-en
Dive into Deep Learning: an interactive deep learning book on Jupyter notebooks, using the NumPy interface.
dc-qiskit-qml
Quantum Machine Learning algorithms
deepcredit
How to predict credit dafaulting?
generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
machine-learning
:earth_americas: machine learning algorithms tutorials (mainly in Python3)
ghellstern's Repositories
ghellstern/CollabCoder
ghellstern/generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
ghellstern/computacao-quantica-aplicada-ao-mercado-financeiro
Repositório com Jupyter Notebooks sobre computação clássica e quântica aplicadas ao mercado financeiro em suporte ao artigo relacionado
ghellstern/DB_large-language-models
Notebooks for Large Language Models (LLMs) Specialization
ghellstern/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
ghellstern/DHBW_LaTeX_Template
A LaTeX template for Project and Bachelor Thesis, DHBW Mannheim
ghellstern/ebadatabase
ghellstern/FinGPT
Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.
ghellstern/FinLLMs
ghellstern/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
ghellstern/large-language-models
All notes and notebooks used while completing edX Databricks' Large Language Models Professional Certificate courses
ghellstern/Lockwo_openqaoa
Multi-backend SDK for quantum optimisation
ghellstern/OpenDS4All
OpenDS4All project, hosted by LF AI & Data
ghellstern/optimization
Algorithms for optimization tasks (operations research)
ghellstern/Python
All Algorithms implemented in Python
ghellstern/Q
My attempt at researching Quantum Mechanics & Quantum Computing when I was a junior.
ghellstern/qaoa-reference
ghellstern/qml-vqa-library
A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum algorithms, tensor networks, and classical machine learning applications in quantum systems.
ghellstern/qnnEnsemble
In this repository we present the data and codes used in the article "Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration". In this work we analyze how we can use the method known as ensemble learning to build a quantum neural network capable of mitigating the barren plateaus problem and the cos
ghellstern/quantum-algorithms-tutorials
Tutorials for Quantum Algorithms with Qiskit implementations.
ghellstern/Quantum-approximate-optimisation-algorithms-for-real-world-scenarios---Strangeworks
Womanium Quantum Hackathon 2022
ghellstern/quantum-machine-learning-finance-cases
Repository to compile real-world gate-based quantum machine learning use cases in the finance sector.
ghellstern/QuantumVal--WomaniumHack2022
ghellstern/QuASK
Quantum Advantage Seeker with kernel
ghellstern/Roadmap-to-QML
This repository will contain the major papers, books and blog posts on QML
ghellstern/SLR_Quantum_Machine_Learning
ghellstern/Solving-Combinatorial-Optimisation-Problems-Using-Quantum-Algorithms
Application of Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimisation Algorithm (QAOA) to the Travelling Salesman Problem (TSP) and the Quadratic Assignment Problem (QAP) using Qiskit on IBM's quantum devices.
ghellstern/Study_of_new_designs_in_quantum_neural_networks
ghellstern/tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
ghellstern/Verba
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate