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Type: User
Bio: ABCDAT warrior
Type: User
Bio: ABCDAT warrior
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.
Chatbot in 200 lines of code using TensorLayer
A game theoretic approach to explain the output of any machine learning model.
A Repo to store the Google Colaboratory Notebooks that I have created and shared
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
Toy notebooks as research preparation into generative adversarial networks
Description and implementation of the Shor's algorithm (to solve the prime factorization problem) using the IBM SDK Qiskit and the framework ProjectQ.
Show and Tell : A Neural Image Caption Generator
Jupyter Notebooks for the minitutorial "Combinatorial Optimization on Quantum Computers" at SIAM Conference on Parallel Processing for Scientific Computing (PP20)
Siegert (or resonant) states with Python
# 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!
Textbook: Lukas Chrostowski, Michael Hochberg, "Silicon Photonics Design", Cambridge University Press 2015
Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Simulating some basic properties of two types of nanophotonic waveguides using MEEP and BEM approaches.
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
A discrete time scheduler designed for Quantum Network
MEEP code (written in Python) describing how to simulate TiO_2 and SiO_2 DBRs
Simulation Optimization using Digital Twins
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)
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)
Sintef Digital Twin
single-particle simulations with python
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.
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.
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.
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.