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a-practical-guide-to-quantum-machine-learning-and-quantum-optimization

A Practical Guide to Quantum Machine Learning and Quantum Optimization, published by Packt

acado

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.

advanced-renewable-sources

This repository contains the lecture slides of ECE180j at UC Santa Cruz

all-of-statistics

Self-study on Larry Wasserman's "All of Statistics"

autogluon

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-nilm

A curated resources of awesome NILM resources

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

brew

🍺 The missing package manager for macOS (or Linux)

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cvx

A MATLAB system for disciplined convex programming

cvxquad

Implementation in MATLAB-based CVX of various convex/concave functions of matrices (matrix geometric means, quantum relative entropy, ...)

dada

The official code for DADA: Differentiable Automatic Data Augmentation (ECCV20)

darts

Differentiable architecture search for convolutional and recurrent networks

data-science--cheat-sheet

Cheat Sheets

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

fatou.jl

Fatou sets in Julia (Fractals, Newton basins, Mandelbrot)

federated-learning

flash-attention

Fast and memory-efficient exact attention

gdl_code

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

github-pages-academic-starter-kit

Get your webpage up quickly!

gpt_paper_assistant

GPT4 based personalized ArXiv paper assistant bot

gridlab-d

Source Code for GridLAB-D

high-dim-ridge

The optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization

hugo-academic

The personal website framework for Hugo. Demo at

hybrid-rl-mpc4clr

i2x

Interconnection Innovation e-Xchange (i2x) Test Systems

ieee8500_primary

optimal power flow IEEE 8500 node test feeder (primary only)

iguanatexmac

IguanaTex for mac (Now archived. For the up-to-date version please refer to https://github.com/Jonathan-LeRoux/IguanaTex)

information_theory

This repository contains all lecture slides for ECE253/CSE208 at UC Santa Cruz