cfdeinza's Stars
sergtitov/NodeJS-Learning
This page contains collection of curated links to blog posts, articles, videos, tutorials, books, frameworks, modules, IDEs, testing tools, hosting providers, etc. to help you learn Node.js and keep up to date.
marrerom/Web-Teaching
Overview of CSE1500 (Web technology part)
workshopper/learnyounode
Learn You The Node.js For Much Win! An intro to Node.js via a set of self-guided workshops.
public-apis/public-apis
A collective list of free APIs
PacktPublishing/CPP-Data-Structures-and-Algorithms
C++ Data Structures and Algorithms, published by Packt
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
AMAI-GmbH/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
b7leung/MLE-Flashcards
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
google-deepmind/mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
pydy/pydy
Multibody dynamics tool kit.
dartsim/dart
DART: Dynamic Animation and Robotics Toolkit
AtsushiSakai/PythonRobotics
Python sample codes for robotics algorithms.
bonarl/Clohessy-Wiltshire
Python program for solving the Clohessy-Wiltshire equations and plotting a 3D animation of the solution for a given starting position/ velocity vector and mean motion of the primary orbiting body. The Clohessy-Wiltshire equations describe a simplified model of orbital relative motion, in which the target is in a circular orbit, and the chaser spacecraft is in an elliptical or circular orbit. This model gives a first-order approximation of the chaser's motion in a target-centered coordinate system. It is very useful in planning rendezvous of the chaser with the target
Stable-Baselines-Team/stable-baselines3-contrib
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
pfnet/pfrl
PFRL: a PyTorch-based deep reinforcement learning library
leocelente/leo-adcs-simulator
Orbit, Rigid Body Dynamics and Magnetic field simulation for Low-Earth-Orbit Spacecraft
salesforce/OmniXAI
OmniXAI: A Library for eXplainable AI
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Kirkados/JSR2020_D4PG
Open-sourced deep guidance implementation using the D4PG algorithm for spacecraft proximity operations as detailed in Hovell and Ulrich's JSR 2020 paper.
peikexin9/deepxplore
DeepXplore code release
awjuliani/Meta-RL
Implementation of Meta-RL A3C algorithm
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
act3-ace/aerospaceRL
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
LorenzoFederici/DL-rendezvous-guidance
neu-autonomy/nfl_veripy
Formal Verification of Neural Feedback Loops (NFLs)