154 Open source projects that are alternatives of or similar to Tods

Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.

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Automated machine learning package

基于Tensorflow2开发的优秀扩展包及项目

Machine Learning in one line of code

Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022

An open source python library for automated feature engineering based on Genetic Programming

Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

Optuna + LightGBM = OptGBM

Python Meta-Feature Extractor package.

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

This repo is about NAS

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💹 SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery platform 💻

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

An automatic machine learning system

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

Graphic tool for the automated evolutionary design of composite models

A framework for large scale recommendation algorithms.

NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.

Automated machine learning (AutoML) with grammar-based genetic programming

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等

Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

Encodings for neural architecture search

Distribution transparent Machine Learning experiments on Apache Spark

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Python package for automatically constructing features from multiple time series

Google Cloud Platform Machine Learning Samples

Automatic machine learning for tabular data. ⚡🔥⚡

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Black-box optimization library

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

A simplified version of featuretools for Spark

Automated modeling and machine learning framework FEDOT

An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras

AutoVideo: An Automated Video Action Recognition System

Sberbank Data Science Jorney Auto-ML competition

AutoGluon: AutoML for Text, Image, and Tabular Data

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020

A Python framework for program synthesis with a focus on Automated Machine Learning.

Python automated machine learning framework.

An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.

Managed Machine Learning Systems and Internet of Things Live Lesson

Merlion: A Machine Learning Framework for Time Series Intelligence

[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

A curated list of automated machine learning papers, articles, tutorials, slides and projects

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

This is an simple example of tagging bank transactions with ML.NET

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search