canerturkmen

hawkeslib

fast parameter estimation for simpler Hawkes processes

nmflib

nonnegative matrix factorization and some variants in numpy

isf-deep-learning-workshop-2024

Hands-on session for the ISF Workshop on Deep Learning, Foundation Models and AutoML for Forecasting

lowrankhawkes

fast low rank multivariate Hawkes processes

betaincder

derivatives of the incomplete beta function, and some others

nmflogreg

Coupled Nonnegative Matrix Factorization and Logistic Regression

autogluon

AutoGluon: AutoML for Text, Image, and Tabular Data

pyportop

financial portfolio optimization in python

canerturkmen.github.io

Personal web page

chronos-forecasting

Chronos: Pretrained Models for Time Series Forecasting

digits

digits recognizer @kaggle

gluon-ts

GluonTS - Probabilistic Time Series Modeling in Python

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

autogluon-bench

automlbenchmark

OpenML AutoML Benchmarking Framework

neurips-cdn-paper

Quantifying Causal Contribution in Rare Event Data

pyhawkes

Python framework for inference in Hawkes processes.

tensorseason

seasons as tensors

tr_finneg_lexicon

Turkish negative financial terms sentiment lexicon

tweetcrawl

Twitter crawler base