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2022_qutech_challenge

MIT iQuHACK 2022 x QuTech Challenge

adm

Here you find the homeworks of ADM class of the MSc in Data Science @ La Sapienza University

adm-hmk1

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

bert_traj_forecast

dashboard

Application that helps you create, backtest, deploy, and manage Hummingbot instances

demorepo2

fdskagglecompetition

Here we develop our code to *win* a kaggle competition of 2018(so...not win anymore)

finalprojectsmds2

Here codes for the course of Statistical Methods in Data Science part2. Gruntrexpewrus :)

fromqctoqml

Official repository for everything presented in Data Science Master Thesis - October 2021

hmk4

Repository for homework4 of ADM course of Data Science in La Sapienza

hmk5-adm

Last hmk for Adm course, hmk about Graphs

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

journalclubg01

Codes for simulation presented in slides

mlp-mixer-pytorch

An All-MLP solution for Vision, from Google AI

networkingbaiocchihmks

practical_rl

A course in reinforcement learning in the wild

qhack

QHack—The one-of-a-kind quantum computing hackathon

qhack2021

Official repo for QHack—the quantum machine learning hackathon

qiskit-app-benchmarks

Qiskit Application Benchmarks

qiskit-machine-learning

Quantum Machine Learning

qiskit-terra

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and algorithms.

qiskit-translations

Home of Qiskit documentation translations

quantum-computing-in-practice-with-qiskit-and-ibm-quantum-experience

Quantum Computing in Practice with Qiskit and IBM Quantum Experience, published by Packt

quantum-neural-networks

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reprep

reprodl_sem

scikit-qulacs

scikit-qulacs is a library for quantum neural network. This library is based on qulacs and named after scikit-learn.

sqlandnosql_usflightdatabaseinvestigation

Here we present the codes for an investigation over a huge US flights database we built and perform in SQL and NoSQL