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analytical_qrc

Codes for generating the figures of the paper "Analytical Evidence of Nonlinearity in Qubits andContinuous-Variable Quantum Reservoir Computing".

basic_reinforcement_learning

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

deepqnn

Implementations for training deep quantum neural networks in Mathematica and MATLAB.

deepquantumneuralnetworks

ece2799

ECE2799 Class Project

enas-keras

Keras implementation of Efficient Neural Architecture Search

fawkes

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

ferminet

An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations

flutter-course-resources

Learn to Code While Building Apps - The Complete Flutter Development Bootcamp

hello-world

mqp

mqp-ece

arduino_code

nbody-python

Vectorized N-body code (Python)

nvm

Deep neural network from Newton vs the Machine

nvmgeneration

parallel_esn

Parallel Echo State Networks for Harvard CS205 final project

playground

Curated collection of notebooks and code files I have worked on while learning a wide range of data science subfields, such as Reinforcement Learning, Natural Language Processing, Deep Neural Networks, Genetic Algorithms, etc. Some of these are accompanied by a pdf and/or article.

predicting-quantum-properties

Predicting quantum properties in a quantum system from few measurements

pyesn

Echo State Networks in Python

pygsti

A python implementation of Gate Set Tomography

pygsti_work

pyqsp

Python quantum signal processing

qrsim

Simulates coherent single and two-qubit errors in quantum circuits

quantum

Hybrid Quantum-Classical Machine Learning in TensorFlow

quantum-geometry

Program to calculate quantum geometry properties of parametrized quantum circuits. Determines number of redundant parameters, effective quantum dimension and quantum natural gradient.

quickdraw-pytorch

This is a demo for CNN models training on quickdraw dataset. Implemented with pytorch.

rnn-lyapunov-spectrum

A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.

rnn-rc-chaos

RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.

smpybandits

🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on