|about 2 months ago||7 days ago|
|MIT License||Apache License 2.0|
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[R] Strategies and Tactics for Regression on Imbalanced Data
1 project | reddit.com/r/MachineLearning | 22 May 2021
Code (+ dataset + models): https://github.com/YyzHarry/imbalanced-regression
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.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
autokeras - AutoML library for deep learning
auto-sklearn - Automated Machine Learning with scikit-learn
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
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.
automlbenchmark - OpenML AutoML Benchmarking Framework
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
shapley - The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Multimodal-Toolkit - Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.