Alvaro Mateos's repositories
VanArsdelPreview
Sample Windows 10 application focused in Line of Business scenarios.
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.
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.
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
autogen
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
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.
eShopOnUWP
Universal Windows Platform line of business application showcasing the latest Windows 10 capabilities such as Fluent Design System, Ink and Windows Hello.
Firetorch
An open-source package tools to train and evaluate machine learning models
InventorySample
Sample UWP application for LOB scenarios
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
generative-models
Generative Models by Stability AI
langchain
⚡ Building applications with LLMs through composability ⚡
micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
next.js
The React Framework
Phenomiser
Phenotype-based Diagnosis Tool for Rare Diseases
PyTrain
Lite python package for pytorch training.
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.
Severstal_docker_instruction
Severstal: Steel Defect Detection. Instructions for Efficiency Prize competition.
waslibs
Windows App Studio WinRT XAML & UWP Libraries
worker-controlnet
🎨 | RunPod worker for the controlnet nedpoints.