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What will the data science job market be like in 5 years?
1 project | reddit.com/r/datascience | 14 Aug 2021
Some AutoML is getting pretty good, AutoGluon is very solid for tabular data. That being said you still need to have your data in tabular format and deployment still requires some effort.
What are some alternatives?
FLAML - A fast library for AutoML and tuning.
autokeras - AutoML library for deep learning
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
auto-sklearn - Automated Machine Learning with scikit-learn
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
automlbenchmark - OpenML AutoML Benchmarking Framework
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Multimodal-Toolkit - Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
shapley - The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Cadmium - Natural Language Processing (NLP) library for Crystal