217 Open source projects that are alternatives of or similar to Autokeras

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

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

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

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

Google Brain AutoML

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

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

The official repo for CVPR2021——ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search.

Predictive AI layer for existing databases.

Free automated deep learning for spreadsheets

Google Cloud Platform Machine Learning Samples

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

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

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

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

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

AutoVideo: An Automated Video Action Recognition System

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

Federated Learning Library: https://fedml.ai

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

Automated machine learning package

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

A framework for large scale recommendation algorithms.

Code for Kaggle Data Science Competitions

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL

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

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

ZazuML - easy AutoML for Object Detection

Optuna + LightGBM = OptGBM

Open source face recognition on Raspberry Pi. SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connecting computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

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.

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

【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

A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch

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

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.

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

real-time network architecture for mobile devices and semantic segmentation

Auto-DL helps you make Deep Learning models without writing a single line of code and giving as little input as possible.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Automated deep learning!

Learnable Embedding Space for Efficient Neural Architecture Compression

my own deep learning mastery roadmap

TODS: An Automated Time-series Outlier Detection System

Python Meta-Feature Extractor package.

Distribution transparent Machine Learning experiments on Apache Spark

An autoML framework & toolkit for machine learning on graphs.

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

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

基于Tensorflow2开发的优秀扩展包及项目

Python package for automatically constructing features from multiple time series