deyh2020 Goto Github PK

sentiment_analysis

Applying a Naive Bayes classifier in order to detect abusive comments based on the Bag-of-Words model. The real-world supervised data from the comment sections of a website are preprocessed to obtain the clean input dataset.

seq2seq-chatbot

Chatbot in 200 lines of code using TensorLayer

shap

A game theoretic approach to explain the output of any machine learning model.

shared_colab_notebooks

A Repo to store the Google Colaboratory Notebooks that I have created and shared

sharon_zhou_gan

Found this interesting course on GANs https://www.deeplearning.ai/program/generative-adversarial-networks-gans-specialization/, during my final year thesis. Sharing my assignment notebooks on the same

shenanigan

Toy notebooks as research preparation into generative adversarial networks

shor-s-algorithm

Description and implementation of the Shor's algorithm (to solve the prime factorization problem) using the IBM SDK Qiskit and the framework ProjectQ.

shortcut_to_adiabaticity

show_and_tell

Show and Tell : A Neural Image Caption Generator

siam_pp_20_minitutorial

Jupyter Notebooks for the minitutorial "Combinatorial Optimization on Quantum Computers" at SIAM Conference on Parallel Processing for Scientific Computing (PP20)

siegpy

Siegert (or resonant) states with Python

sign-language-classification

# Sign Language_Multi-class Classification In this notebook I have worked on a multi-class classification problem. By using the [Sign Language MNIST](https://www.kaggle.com/datamunge/sign-language-mnist) dataset, which contains 28x28 images of hands depicting the 26 letters of the english alphabet. Let's get started!

siliconphotonicsdesign

Textbook: Lukas Chrostowski, Michael Hochberg, "Silicon Photonics Design", Cambridge University Press 2015

simcim-rl

Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

simnanophotonics

Simulating some basic properties of two types of nanophotonic waveguides using MEEP and BEM approaches.

simple-gan

In this Notebook we build a simple generative adversarial network based on fully connected layers and train it on the MNIST dataset. It's far from perfect, but it's a start and will lead us to implement more advanced and better architectures

simple-python-chatbot

simqn

A discrete time scheduler designed for Quantum Network

simulating-multipartite-entanglement-verification-protocol-using-netsquid

simulatingdbrs

MEEP code (written in Python) describing how to simulate TiO_2 and SiO_2 DBRs

simulation-optimization-using-digital-twins

Simulation Optimization using Digital Twins

simulations_graphene_qhe

Python codes, based on the Kwant package, used for the simulations of the article "upstream modes and antidots poison graphene quantum Hall effect" (https://arxiv.org/abs/2010.12499)

simulator-of-integrated-optical-2-waveguide-array-chip

This is the implementation of the simulator of an integrated optical 2-waveguide chip similar to the chip in the paper entitled "Modeling and Control of a Reconfigurable Photonic Circuit using Deep Learning" (https://arxiv.org/abs/1907.08023)

sindit

Sintef Digital Twin

single-particle-bec1

single-particle simulations with python

single-photon-source

sirc_hw

Implementation of SIRC, hardware end code for a Xilinx virtex 5 XUPV5 and virtex 6 ML605 devices inside folders. This project has separate works which are made to work with both actual hardware PUF and software PUF. PUF - Physically Unclonable Function.

sirc_hw_xilinx_ml605_hardware_puf

Implementation of SIRC, hardware end code for a Xilinx virtex 6 ML605 device. This project is made to work with a actual hardware PUF. PUF - Physically Unclonable Function.

sirc_hw_xilinx_ml605_software_puf

Implementation of SIRC, hardware end code for a Xilinx virtex 6 ML605 device. This project is made to work with a software PUF. i.e., A software module implementation of PUF behaviour. PUF - Physically Unclonable Function.