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laplacekorea's Projects

lav icon lav

(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.

layr icon layr

A decentralized (p2p) file storage system built atop Kademlia DHT that enforces data integrity, privacy, and availability through sharding, proofs of retrievability, redundancy, and encryption, with smart-contract powered incentive scheme

lazycli icon lazycli

Turn static CLI commands into TUIs with ease

lbfgsb.jl icon lbfgsb.jl

Julia wrapper for L-BFGS-B Nonlinear Optimization Code

lbl2vec icon lbl2vec

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

lc3-vm icon lc3-vm

A LC3 virtual machine implementation in a few lines of C code

lda4rec icon lda4rec

🧮 Matrix Factorization for Collaborative Filtering is just Solving an Adjoint Latent Dirichlet Allocation Model after All

ldc_downloader icon ldc_downloader

Script to download corpora from the Linguistic Data Consortium (LDC)

learning-quantum-computing-course icon learning-quantum-computing-course

⚛️ 💥 ⚙️ A project based in Quantum Physics/Mechanics and Quantum Computing. This projects contains Tutorials, Examples, Exercises, Papers, Posters and Illustrations covering several concepts of Quantum Physics/Mechanics and Quantum Computing, such as Quantum Information Science, Quantum Algorithms, Quantum Error Correction, Quantum Internet/Networks, Quantum Cryptography, Quantum Artificial Intelligence, Quantum Machine Learning and Quantum Game Theory. It works as a support for the Online Web Course of Learning Quantum Computing available in the following GitHub Page: https://rubenandrebarreiro.github.io/learning-quantum-computing. This project it's built using OpenQASM Framework (IBM's Open Quantum Assembly Language), Qiskit Framework (IBM Q Experience), Cirq Framework (Google AI Quantum), Q# Framework (Microsoft Quantum Development Kit - QDK), PyQuil Framework (Rigetti's Forest SDK), PennyLane Framework (Xanadu Quantum Technologies), Project Q Framework (ETHZ's Open-Source Software Framework for Quantum Computing) and Quantum Inspire (TU Delft's/QuTech's Quantum Computing Platform). The Tutorials, Examples and Exercises are mostly built in Python and Jupyter Notebooks. The Papers are built in TeX (LaTeX). The Posters and Illustrations are built in Adobe Photoshop, Adobe Illustrator and Adobe Photoshop Lightroom. Some Tutorials, Examples and Exercises use other important Packages, Libraries and Frameworks for Data Science, Cybersecurity, Cryptography, Quantum Physics/Mechanics and Quantum Computing, such as Bokeh, Cython, Dask, Jython, Matplotlib, Numba, NumPy, PyTorch, SciKit Learn, SciPy, SymPy, TensorFlow, Theano, QuTip, or even, OpenSSL and Python's Cryptography Library. Some Examples and Tutorials also use the NetSquid and SimulaQron Simulators Frameworks (TU Delft's/QuTech's Quantum Internet's/Network Simulators).

ledger icon ledger

🏛 A scriptable financial ledger, designed to make it easy to model complex financial transactions

leechcore icon leechcore

LeechCore - Physical Memory Acquisition Library & The LeechAgent Remote Memory Acquisition Agent

lem icon lem

Official code for Long Expressive Memory (ICLR 2022, Spotlight)

lfqueue icon lfqueue

A Scalable, Portable, and Memory-Efficient Lock-Free FIFO Queue (DISC '19)

lfzip icon lfzip

Error bounded lossy compression of time series using prediction-quantization approach

lh-ehr icon lh-ehr

LibreHealth EHR - Free Open Source Electronic Health Records

libbtc icon libbtc

Tiny Bitcoin Library written in C

libcds icon libcds

A C++ library of Concurrent Data Structures

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