Caner Turkmen's repositories
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
canerturkmen.github.io
Personal web page
chronos-forecasting
Chronos: Pretrained Models for Time Series Forecasting
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
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