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Raybowc
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DeePMD-kit plugin for various graph neural network models
cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffDock, MACE, Allegro and NEQUIP, based on equivariant neural n…
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
A GUI program for plotting Minimal energy path on potential energy surface.
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
AI-driven Yu-Gi-Oh! bot using deep reinforcement learning and LLMs
Battery state of charge estimation using kalman filter in Matlab
A flexible workflow for on-the-fly learning of interatomic potential models.
The State of charge (SOC) is an important parameter to find the capacity of state. It is equivalent to the fuel gauge for a battery pack in a battery electric vehicle. There are different general m…
Header-only C++11 Kalman Filtering Library (EKF, UKF) based on Eigen3
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Open-Source: Modular BMS based on LTC68XX & STM32 MCU for up to 400V EV battery pack
Lithium ion Battery Management System for Electric Vehicle
This is the source code for paper "Neural Network Potentials for Accelerated Metadynamics of Oxygen Reduction Kinetics at Au-Water Interfaces"
A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
A modern high-performance open source message queuing system
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
The BusTub Relational Database Management System (Educational)