Alvaro Mateos (Alvaromah)

Alvaromah

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Location:Madrid

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Alvaro Mateos's repositories

VanArsdelPreview

Sample Windows 10 application focused in Line of Business scenarios.

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WindowsTemplateStudio

Windows Template Studio quickly builds a UWP app, using a wizard-based UI to turn your needs into a foundation of Windows 10 patterns and best practices.

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AITemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

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Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

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diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

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Dreambooth-Stable-Diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

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eShopOnContainers

Easy to get started sample reference microservice and container based application. Cross-platform on Linux and Windows Containers, powered by .NET Core 2.0 and Docker engine. Supports Visual Studio 2017 and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor.

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eShopOnUWP

Universal Windows Platform line of business application showcasing the latest Windows 10 capabilities such as Fluent Design System, Ink and Windows Hello.

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Firetorch

An open-source package tools to train and evaluate machine learning models

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InventorySample

Sample UWP application for LOB scenarios

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latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

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langchain

⚡ Building applications with LLMs through composability ⚡

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micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

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next.js

The React Framework

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Phenomiser

Phenotype-based Diagnosis Tool for Rare Diseases

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PyTrain

Lite python package for pytorch training.

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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Severstal_docker_instruction

Severstal: Steel Defect Detection. Instructions for Efficiency Prize competition.

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waslibs

Windows App Studio WinRT XAML & UWP Libraries

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