automl
There are 1110 repositories under automl topic.
katib
Automated Machine Learning on Kubernetes
fast-autoaugment
Official Implementation of 'Fast AutoAugment' in PyTorch.
tods
TODS: An Automated Time-series Outlier Detection System
AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
advisor
Open-source implementation of Google Vizier for hyper parameters tuning
MLBox
MLBox is a powerful Automated Machine Learning python library.
modelfox
ModelFox makes it easy to train, deploy, and monitor machine learning models.
proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML)
AutoTS
Automated Time Series Forecasting
chan.py
开放式的缠论python实现框架，支持形态学/动力学买卖点分析计算，多级别K线联立，区间套策略，可视化绘图，多种数据接入，策略开发，交易系统对接；
Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
MedMNIST
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
AutoDL
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
AutoGL
An autoML framework & toolkit for machine learning on graphs.
tensorflow-101
TensorFlow 101: Introduction to Deep Learning
morph-net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Otto
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
devol
Genetic neural architecture search with Keras
LightAutoML
LAMA - automatic model creation framework
Awesome-AutoML-and-Lightweight-Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
evalml
EvalML is an AutoML library written in python.
AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
keras-idiomatic-programmer
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
h1st
Power Tools for AI Engineers With Deadlines
luminaire
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
Kaggler
Code for Kaggle Data Science Competitions
SymbolicRegression.jl
Distributed High-Performance Symbolic Regression in Julia
HungaBunga
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
pyglove
Manipulating Python Programs
FEDOT
Automated modeling and machine learning framework FEDOT
eps
Machine learning for Ruby
NAS-Bench-201
NAS-Bench-201 API and Instruction