nlebang's repositories
2022-code-TCNS-Decomposition-Approach-to-Multi-Agent-Systems-with-Bernoulli-Packet-Loss
Code for the paper "A Decomposition Approach to Multi-Agent Systems with Bernoulli Packet Loss" by C. Hespe, H. Saadabadi, A. Datar, H. Werner and Y. Tang
A-Master-Slave-Salp-Swarm-Algorithm-for-HESS-Control-Strategy-in-EVs
This repo contains scientific models for simulating potential application of improved metaheuristic algorithms in real time optimization of energy consumption in electric vehicles
Awesome-explainable-AI
A collection of research materials on explainable AI/ML
bayesian-neural-network-pytorch
PyTorch implementation of bayesian neural network.
DeepCriticalLearning
Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
Kalman-and-Bayesian-Filters-in-Python
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 filters, and more. All exercises include solutions.
Machine-Learning
Materials and homework files from the ML zoomcamp (2022 cohort)
Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
maths_julia
Julia codes for various mathematics topics
ml-class
Machine learning lessons and teaching projects designed for engineers
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms for time series data :wavy_dash:.
neuromancer
Pytorch-based framework for solving parametric constrained optimization problems.
OpenDER
Open-source Distributed Energy Resources (DER) Model that represents IEEE Standard 1547-2018 requirements for steady-state and dynamic analyses
PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development and validation
powergym
A Gym-like environment for Volt-Var control in power distribution systems.
pymc
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
pypmu
pyPMU - Python implementation of the IEEE C37.118 synchrophasor standard
PySyft
Data science on data without acquiring a copy
Q
My attempt at researching Quantum Mechanics & Quantum Computing.
quantum-algorithm-library
A quantum algorithm library consisting of the following quantum protocols/algorithms: Bennet (1992), Deutsch, Bernstein-Vazirani, Simon, Shor, Grover. Tests and constants (matrixes and other operations) included.
quantum-book
The book: Practice exams in Quantum Computing for graduate students.
reinforcement-learning-1
Minimal and Clean Reinforcement Learning Examples
shap
A game theoretic approach to explain the output of any machine learning model.
svp
System Validation Platform
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
theseus
A library for differentiable nonlinear optimization