sabazm's repositories
Active-Particle-Filter-Networks
Official repository for Active Particle Filter Networks: Efficient Active Localization in Continuous Action Spaces and Large Maps
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-causality-algorithms
An index of algorithms for learning causality with data
awesome-normalizing-flows
Awesome resources on normalizing flows.
bayesian-neural-network-pytorch
PyTorch implementation of bayesian neural network.
Basisformer
This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis]
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
daily_arxiv
Using GitHub Action to collect paper list with publicly available source code in the daily arxiv
data-driven-prediction-of-battery-cycle-life-before-capacity-degradation
Code for Nature energy manuscript
differentiable-particle-filters
Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
doubleml-for-py
DoubleML - Double Machine Learning in Python
EEG-Datasets
A list of all public EEG-datasets
gpstuff
GPstuff - Gaussian process models for Bayesian analysis
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Inverse-Reinforcement-Learning
Implementations of selected inverse reinforcement learning algorithms.
linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
MetaAF
Control adaptive filters with neural networks.
mimii_baseline
A baseline sample code of anomaly detection for MIMII Dataset
ONEFlux
Open Network-Enabled Flux processing pipeline
particles
Sequential Monte Carlo in python
s4
Structured state space sequence models
TransformersCanDoBayesianInference
Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai