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Name: Swarnadeep Majumder
Type: User
Company: quantum.duke.edu
Bio: QC researcher. Quantum Controls, Device Characterizations, NISQ simulations.
Location: Duke University
Name: Swarnadeep Majumder
Type: User
Company: quantum.duke.edu
Bio: QC researcher. Quantum Controls, Device Characterizations, NISQ simulations.
Location: Duke University
Codes for generating the figures of the paper "Analytical Evidence of Nonlinearity in Qubits andContinuous-Variable Quantum Reservoir Computing".
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.
Implementations for training deep quantum neural networks in Mathematica and MATLAB.
ECE2799 Class Project
Keras implementation of Efficient Neural Architecture Search
Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations
Learn to Code While Building Apps - The Complete Flutter Development Bootcamp
arduino_code
Vectorized N-body code (Python)
Deep neural network from Newton vs the Machine
Parallel Echo State Networks for Harvard CS205 final project
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 in a quantum system from few measurements
Echo State Networks in Python
A python implementation of Gate Set Tomography
Python quantum signal processing
Simulates coherent single and two-qubit errors in quantum circuits
Hybrid Quantum-Classical Machine Learning in TensorFlow
Program to calculate quantum geometry properties of parametrized quantum circuits. Determines number of redundant parameters, effective quantum dimension and quantum natural gradient.
This is a demo for CNN models training on quickdraw dataset. Implemented with pytorch.
A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
🔬 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
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.