[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
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Updated
Jan 27, 2024 - Python
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
Input Output Hidden Markov Model (IOHMM) in Python
Python library to implement advanced trading strategies using machine learning and perform backtesting.
Calibrate and simulate linear propagator models for the price impact of an extrinsic order flow.
Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models
Library for machine learning where all algorithms are implemented from scratch. Used only numpy.
Python Tools to Practically Model and Solve the Problem of High Speed Rotor Balancing.
Repository for the AugmentedPCA Python package.
Student performace prediction using SVM and BKT
Models to estimate the hardware cost of FPGA based implementations of CNNs
CoBMo - Control-oriented Building Model
An implementation (sklearn API) of Model Agnostic Supervised Local Explanation (MAPLE) by Plumb et al. and reproduction of "accuracy" experiments.
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
Implementation on Pyomo of Distribution Expansion Planning Model proposed by Muñoz-Delgado et al. (2014).
Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).
Self written packages for Machine learning algorithms like Linear Regression, KNN,ANN etc.
Create a machine learning model using logistic regression that can predict credit card approvals from the described dataset.
Implements Linear Models for Regression(Linear, Ridge, Lasso Regressions) and Classification(Logistic Regression) from scratch in Python
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