Combining tree-boosting with Gaussian process and mixed effects models

An extension of CatBoost to probabilistic modelling

An extension of XGBoost to probabilistic modelling

An extension of LightGBM to probabilistic modelling

TACTiS: Transformer-Attentional Copulas for Time Series from ServiceNow Research

Repository of Transformer based PyTorch Time Series Models

Using python to develop an optimal tuning for PID. Usiing cruise control as an example

Various useful numerical algorithms which can be used almost standalone.

Powell's bounded optimization by quadratic approximation with C++ example

Implementation of several local optimization methods

NOMAD - A blackbox optimization software

Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

a lightweight header-only C++17 library of numerical optimization methods for nonlinear functions based on Eigen

Machine Learning Implementations in C++

C++20 N-dimensional Matrix class for hobby project

A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization

High-Performance Symbolic Regression in Python and Julia

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

A simple preprocessing method for Machine Learning

The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling

A Deep Reinforcement Learning based approach for energy supply management in MicroGrids

Implementation related to the Deep Complex Networks

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

My solution code to a machine learning problem from Zinid.Africa.

Neural Architecture Search for MLPs. Insights drawn from ENAS, SeqGAN and NAO

MLPNAS code for Paperspace series on Neural Architecture Search

A collection of machine learning examples and tutorials.