Pinned Repositories
Active-Particle-Filter-Networks
Official repository for Active Particle Filter Networks: Efficient Active Localization in Continuous Action Spaces and Large Maps
Adaptive-Filters
Some adaptive filter variations
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
awesome-bayesian-statistics
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
awesome-causality-algorithms
An index of algorithms for learning causality with data
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-industrial-machine-datasets
Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
awesome-normalizing-flows
Awesome resources on normalizing flows.
sabazm's Repositories
sabazm/awesome-bayesian-statistics
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
sabazm/btsa
Berlin Time Series Analysis Repository
sabazm/DeepSSM_SysID
Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
sabazm/gau-pro
Gaussian Processes and Bayesian Optimization implemeted in Python
sabazm/Gaussian-Processes-Regression-Tutorial
An Intuitive Tutorial to Gaussian Processes Regression
sabazm/GPflow
Gaussian processes in TensorFlow
sabazm/GPSSMtorch
An implementation of GP-SSM inference algorithms using pytorch
sabazm/gpTest1
sabazm/gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
sabazm/hsgp
Hilbert space approximation for Gaussian processes in numpyro.
sabazm/identifying_causal_structure
sabazm/IPLS
This repository contains the Matlab implementation of the iterated posterior linearisation smoother (IPLS).
sabazm/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.
sabazm/LANDO
Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)
sabazm/Memristor-Network-Reservoir
Memristor-Network-Reservoir: MATLAB codes for simulating memristor networks and performing reservoir computation.
sabazm/MemTorch
A Simulation Framework for Memristive Deep Learning Systems
sabazm/Modeling-and-Simulating-In-Memory-Memristive-Deep-Learning-Systems
Array: Modeling and Simulating In-Memory Memristive Deep Learning Systems: An Overview of Current Efforts
sabazm/mogptk
Multi-Output Gaussian Process Toolkit
sabazm/NonLinearDynamicalSys
sabazm/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
sabazm/PythonRobotics
Python sample codes for robotics algorithms.
sabazm/ReplicationDSGEHOS
Replication code for simulating and estimation by GMM of DSGE models with higher-order statistics
sabazm/ReplicationDSGENonlinearIdentification
Replication code for checking identification in nonlinear pruned DSGE models with Gaussian or Student's t distributed errors
sabazm/statespace
sabazm/switch-ssm
Markov-Switching State-Space Models
sabazm/sysidentpy
A Python Package For System Identification Using NARMAX Models
sabazm/tensor-house
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
sabazm/tensorflow
An Open Source Machine Learning Framework for Everyone
sabazm/The_Art_of_Gaussian_Processes
sabazm/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.