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laplacekorea's Projects

td icon td

Cross-platform library for building Telegram clients

teach-yourself-research icon teach-yourself-research

This repo is expected to help you develop basic research skills, including technical writing, paper reading, presentation, note-taking, etc.

ted-q icon ted-q

TeD-Q (Tensor-network enhanced Distributed Quantum) is a tensor network enhanced distributed hybrid quantum machine learning framework.

telemanom icon telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

teleport-1 icon teleport-1

The easiest, most secure way to access infrastructure.

tengo icon tengo

A fast script language for Go

teqs icon teqs

Welcome to The Eigensolver Quantum School, a quantum computing crash course designed by students for students.

tequila icon tequila

A High-Level Abstraction Framework for Quantum Algorithms

termenv icon termenv

Advanced ANSI style & color support for your terminal applications

terminal icon terminal

The new Windows Terminal and the original Windows console host, all in the same place!

terraformer icon terraformer

CLI tool to generate terraform files from existing infrastructure (reverse Terraform). Infrastructure to Code

tetragon icon tetragon

eBPF-based Security Observability and Runtime Enforcement

tevr-asr-tool icon tevr-asr-tool

State-of-the-art (ranked #1 Aug 2022) German Speech Recognition in 284 lines of C++. This is a 100% private 100% offline 100% free CLI tool.

text2art icon text2art

AI-powered Text-to-Art Generator - Text2Art.com

tgn icon tgn

TGN: Temporal Graph Networks

thanos icon thanos

Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.

thea icon thea

A toolkit for visual computing with a focus on geometry processing

thefuck icon thefuck

Magnificent app which corrects your previous console command.

thermodynamicsgnn icon thermodynamicsgnn

Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).

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