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Type: User
Bio: ABCDAT warrior
Type: User
Bio: ABCDAT warrior
library that generates commonly used pulses/shapes
Spin qubit design package for ferroelectric-based qubits. (Lawrence Berkeley National Lab).
script for the UCPH spin qubit team
Magnetic relaxation and quantum information with MatLab scripts
Programs for running and analyzing experiments on singlet-triplet qubits in Yacoby Lab
Photonic optimization library
SPINS-B integration with Meep solver
SpinW Matlab library for spin wave calculation
Uses Twitter API and sentiment analysis to analyze and identify potentially abusive tweets.
semi-symbollic, fairly fast, very convenient modelling of quantum systems described by a Lindblad master equations
This is a repository for the LinkedIn Learning course SQL for Data Analysis
A distributed simulation framework for quantum networks and channels
Power based side channel attacks using FPGAs. We built a hardware trojan on an AES circuit which leaks information through the power traces. This repo conains a python notebook which retrieves a secret stored within the circuit using the power traces
It is the impletation of "Self-supervised Graphs for Audio Representation Learning with Limited Labeled Data" paper
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals (MLHC 2023)
Simple object-oriented representation of generators for stabiliser subspaces. Depends on sparse_pauli.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A latent text-to-image diffusion model
A Jupyter widgets-based interactive notebook for Google Colab to generate images using Stable Diffusion.
Jupyter / colab notebook to run the text-to-image Stable Diffusion on Kaggle or Paperspace Gradient
High-Resolution Image Synthesis with Latent Diffusion Models
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Bloom is a new multi-lingual LLM (Large Language Model) from BigScience, a Hunggingface-hosted open collaboration with hundreds of researchers and institutions around the world. This repo contains a notebook and configuration scripts to get started with the basics of text generation using Bloom's 1.3B parameter pre-trained model.
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
This is the location for Qiskit code written to study state tomography performed on GHZ gates. The gates are implemented using IBM's cloud accessed quantum chips.
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.