Lists (5)
Starred repositories
Comprehensive roadmap for aspiring Embedded Systems Engineers, featuring a curated list of learning resources
This textbook gives students an understanding of the most important topics in embedded systems design using a coherent, compelling and hands-on approach.
Collections of awesome neovim plugins.
High performance self-hosted photo and video management solution.
Multi functional app to find duplicates, empty folders, similar images etc.
These are policy-driven snapshot management and replication tools which use OpenZFS for underlying next-gen storage. (Btrfs support plans are shelved unless and until btrfs becomes reliable.)
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
Bootstrap Kubernetes the hard way on Vagrant on Local Machine. No scripts.
Cross platform super fast single header c++ library to get image size and format without loading/decoding. Support avif, bmp, cur, dds, gif, hdr (pic), heic (heif), icns, ico, j2k, jp2, jpeg (jpg),…
C++ DataFrame for statistical, financial, and ML analysis in modern C++
Reading, writing, and processing images in a wide variety of file formats, using a format-agnostic API, aimed at VFX applications.
Object Oriented character picture generator for learning purposes.
Second project from Udacity's Deep Reinforcemente Learning nanodegree that leverages DDPG for solving the Reacher environemnt.
Repository with the 3rd Udacity project from the Deep Reinforcement learning nanodegree.
Project for testing a maze generator for 2D Orthogonal Perfect mazes.
Proyectos finalizados del curso "Introducción a C++ para programadores".
Repository containing the solution for the first project of the Deep Reinforcement Learning nanodegree from Udacity.
Exercises and tools for getting into reinforcement learning.
Master programming by recreating your favorite technologies from scratch.
Pre-Built Vulnerable Environments Based on Docker-Compose
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Prioritized Experience Replay (PER) implementation in PyTorch
megastep helps you build 1-million FPS reinforcement learning environments on a single GPU
Template for new C++ projects using vcpkg as package manaer.
Python Implementation of Reinforcement Learning: An Introduction
List of Computer Science courses with video lectures.