Richard Jorge Miranda Abarca's Projects
Python sample codes for robotics algorithms.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and algorithms.
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
Advanced Rust quantum computer simulator
A multithreaded, distributed, GPU-accelerated simulator of quantum computers
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Yandex Files
RE2 is a fast, safe, thread-friendly alternative to backtracking regular expression engines like those used in PCRE, Perl, and Python. It is a C++ library.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
Esencial entrenamiento react
Bootstrap components built with React
An extension that allows inspection of React component hierarchy in the Chrome and Firefox Developer Tools.
Utilities for iterating element children
A framework for building native apps with React.
A simple, declarative, and composable way to fetch data for React components
Integration between React Router and React-Bootstrap
React Starter Kit — front-end starter kit using React, Relay, GraphQL, and JAM stack architecture
A very simple todo app with react
Best Practices on Recommendation Systems
rambunctious static site generator
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.
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Retro Games in Gym