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Ydeh22's Projects

neuroptica icon neuroptica

Flexible simulation package for optical neural networks

nn-svg icon nn-svg

Publication-ready NN-architecture schematics.

nocodeseg icon nocodeseg

🔬 Code-free deep segmentation for computational pathology

ns3-gym icon ns3-gym

ns3-gym - The Playground for Reinforcement Learning in Networking Research

numericalmethodsinphysics icon numericalmethodsinphysics

Using various numerical methods and fundamental equations of motion, as well as quantum mechanical equations to solve problems in Physics

numom2b_preprocessing icon numom2b_preprocessing

φ Preprocessing scripts to create reproducible partitions of the nuMoM2b data set. Part of the Indiana University Precision Health Initiative.

ob-1 icon ob-1

Matlab library for nanophotonic inverse design

objective-first icon objective-first

Objective-first approach to nanophotonic design, implemented in Matlab

objective_first icon objective_first

Reproduce the objective-first method in the inverse problem of nanophotonics

ode-lstms icon ode-lstms

Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series

odin icon odin

ODIN online-learning digital spiking neural network (SNN) processor - HDL source code and documentation.

odl icon odl

Operator Discretization Library https://odlgroup.github.io/odl/

offlinerl_modelselection icon offlinerl_modelselection

[MLHC 2021] Model Selection for Offline RL: Practical Considerations for Healthcare Settings. https://arxiv.org/abs/2107.11003

oneflow icon oneflow

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

online-vehicle-routing-drl icon online-vehicle-routing-drl

PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplore.ieee.org/document/8693516

open-science-prize-swap-gate icon open-science-prize-swap-gate

Improve the fidelity of the SWAP gates between qubits 5 and 6 on the IBM Quantum system ‘ibmq casablanca’ by reducing the infidelity from 2% to 1% with error bars equal to or better than 0.08% using benchmarking techniques described in the Open Science Prize notebook On our IBM Quantum processors, qubits can only interact with neighboring qubits - but several quantum circuits, such as those required for measuring Quantum Volume, frequently require operations between non-neighboring qubits. Quantum computers implement these operations by first using the SWAP gate to bring the quantum states of qubits closer on the chip, and then acting on these qubits with nearest-neighbor quantum gates. IBM Quantum Experience users will use Qiskit Pulse in order to devise SWAP gates of their own, and then characterize the gate’s fidelity, using a Jupyter notebook supplied by IBM Quantum. The goal is to improve the fidelity of the currently implemented SWAP gates. In order to receive access to IBM Quantum System ’ibmq casablanca’, you must demon- strate an understanding of the rigor of the challenge. Choose the challenge you are competing in and briefly de- scribe how you plan to solve that challenge. Confirmation of access will be sent to you via email.

openaigym-1 icon openaigym-1

Code from "Intro to OpenAI Gym" tutorial video: https://youtu.be/8MC3y7ASoPs

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