A system for parallel and distributed Python that unifies the ML ecosystem.
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automl
Repositories 100
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
machine-learning
python
data-science
automl
automation
scikit-learn
hyperparameter-optimization
model-selection
parameter-tuning
automated-machine-learning
random-forest
gradient-boosting
feature-engineering
xgboost
Python
Updated Mar 22, 2019
accessible AutoML for deep learning.
automl
deep-learning
neural-architecture-search
machine-learning
automated-machine-learning
automatic-machine-learning
autodl
automated-deep-learning
automatic-deep-learning
neural-network
neural-networks
Python
Updated Mar 28, 2019
An open source python framework for automated feature engineering
Automated Machine Learning with scikit-learn
Fast and flexible AutoML with learning guarantees.
An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Python
Updated Mar 8, 2019
Differentiable architecture search for convolutional and recurrent networks
deep-learning
automl
image-classification
language-modeling
pytorch
convolutional-networks
recurrent-networks
neural-architecture-search
Python
Updated Oct 11, 2018
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machin…
[UNMAINTAINED] Automated machine learning for analytics & production
machine-learning
data-science
automated-machine-learning
gradient-boosting
scikit-learn
python
machine-learning-pipelines
machine-learning-library
production-ready
automl
lightgbm
analytics
feature-engineering
hyperparameter-optimization
deep-learning
xgboost
keras
deeplearning
tensorflow
artificial-intelligence
Python
Updated Nov 1, 2018
Provide an input CSV and a target field to predict, generate a model + code to run it.
Python
Updated Mar 29, 2019
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Updated Mar 29, 2019
Genetic ConvNet architecture search with Keras
deep-learning
genetic-programming
genetic-algorithm
machine-learning
keras
automl
neural-architecture-search
computer-vision
Python
Updated Jan 23, 2019
Open-source implementation of Google Vizier for hyper parameters tuning
Jupyter Notebook
Updated Feb 3, 2019
MLBox is a powerful Automated Machine Learning python library.
machine-learning
auto-ml
kaggle
deep-learning
stacking
pipeline
optimization
preprocessing
encoding
prediction
distributed
xgboost
drift
classification
regression
lightgbm
keras
automated-machine-learning
automl
data-science
Python
Updated Jan 28, 2019
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this p…
machine-learning
data-science
javascript
machine-learning-library
machine-learning-algorithms
ml
data-scientists
javascript-library
scikit-learn
kaggle
numerai
automated-machine-learning
automl
auto-ml
Python
Updated Aug 29, 2016
Open source AI-powered video surveillance on embedded Linux/Android with ARM GPU/NPU support, featuring face recognit…
mxnet
tensorflow
automl
rtsp
video
ai
deep-learning
face-recognition
tf-lite
face-detection
mali
object-detection
video-surveillance
machine-learning
C
Updated Mar 29, 2019
Sequential Model-based Algorithm Configuration
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
PyTorch implementation of PNASNet-5 on ImageNet
Python
Updated Dec 8, 2018
Python
Updated Nov 21, 2018
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
deep-learning
deep-neural-networks
automl
hyperparameter-tuning
hyperparameter-optimization
machine-learning
Python
Updated Nov 7, 2018
AutoML frAmework for Neural Networks
TensorFlow implementation of PNASNet-5 on ImageNet
Python
Updated Dec 8, 2018
A simple, extensible library for developing AutoML systems
AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data stre…
Python
Updated Dec 17, 2018
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Python
Updated Mar 22, 2019
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/…
deep-learning
automl
image-classification
neural-architecture-search
pytorch
convolutional-neural-networks
Python
Updated Aug 26, 2018
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Mod…
automl
meta-learning
automated-feature-engineering
hyperparameter-optimization
architecture-search
model-compression
model-acceleration
awesome-list
neural-architecture-search
nas
pytorch
Updated Mar 19, 2019