Ergonomic machine learning for everyone.
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Jun 23, 2021 - Python
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auto-ml
Here are 54 public repositories matching this topic...
MLBox is a powerful Automated Machine Learning python library.
encoding
data-science
machine-learning
deep-learning
pipeline
optimization
keras
regression
prediction
distributed
kaggle
xgboost
classification
lightgbm
preprocessing
drift
automl
stacking
automated-machine-learning
auto-ml
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May 21, 2021 - Python
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
javascript
data-science
machine-learning
scikit-learn
machine-learning-algorithms
ml
javascript-library
kaggle
machine-learning-library
data-scientists
automl
numerai
automated-machine-learning
auto-ml
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Aug 29, 2016 - Python
bouthilx
commented
Feb 24, 2021
It is possible to set verbosity of Oríon with
import logging
logging.basicConfig(
format="%(asctime)-15s::%(levelname)s::%(name)s::%(message)s",
level=logging.DEBUG,
)
but it should be possible to simple pass a verbosity level to Oríon. The verbosity of Oríon should not be applied to all python however, it should not affect code outside Oríon. We did not have to care ab
NSGA-Net, a Neural Architecture Search Algorithm
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Aug 19, 2019 - Python
Neural network inference engine that delivers GPU-class performance for sparsified models on CPUs
nlp
computer-vision
tensorflow
ml
inference
pytorch
machinelearning
pruning
object-detection
pretrained-models
quantization
auto-ml
cpus
onnx
yolov3
sparsification
cpu-inference-api
deepsparse-engine
sparsified-models
sparsification-recipe
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Jul 30, 2021 - Python
aw_nas: A Modularized and Extensible NAS Framework
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Jul 30, 2021 - Python
Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)
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Mar 20, 2021 - Python
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
iot
edge
awesome-list
pruning
quantization
auto-ml
edge-machine-learning
federated-learning
embedded-machine-learning
mobile-machine-learning
efficient-architectures
edge-deep-learning
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Apr 18, 2020 - Python
DeepArchitect: Automatically Designing and Training Deep Architectures
machine-learning
deep-learning
hyperparameter-optimization
auto-ml
neural-architecture-search
architecture-search
automatic-machine-learning
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Oct 1, 2019 - Python
State-of-the art Automated Machine Learning python library for Tabular Data
python
data-science
machine-learning
sklearn
cross-validation
ml
model-selection
xgboost
hyperparameter-optimization
machine-learning-library
hyperparameter-tuning
optimisation
automl
stacking
auto-ml
machine-learning-models
automatic-machine-learning
data-science-projects
stacking-ensemble
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Mar 7, 2021 - Python
A general, modular, and programmable architecture search framework
machine-learning
deep-neural-networks
deep-learning
tensorflow
pytorch
neural-networks
colab
hyperparameter-optimization
auto-ml
neural-architecture-search
architecture-search
automatic-machine-learning
colab-notebook
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May 21, 2021 - Python
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
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Sep 5, 2020 - Python
An intelligent, flexible grammar of machine learning.
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Jul 29, 2021 - Python
Introduction to scikit-learn and TPOT
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Jul 10, 2021 - Jupyter Notebook
The genetic neural architecture search (GeneticNAS) is a neural architecture search method that is based on genetic algorithm which utilized weight sharing across all candidate network.
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Jul 8, 2019 - Python
An assistive stove-top cooking device with machine vision - for domestic automation research
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Nov 11, 2020 - Python
mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens
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Oct 16, 2020 - Python
HyPSTER - HyperParameter optimization on STERoids
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Apr 9, 2020 - Python
This repository covers h2o ai based implementations
machine-learning
deep-learning
h2o
gbm
gradient-boosting-machine
automl
h2oai
gradient-boosting
auto-ml
gradient-boosting-decision-trees
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Nov 7, 2019 - Jupyter Notebook
Slow progress? Twenty One (21) is the auto ML engine which makes it easy to dish out ML models in an automated way.
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Jul 28, 2021 - Python
Divisive Intelligent K-Means algorithm (DiviK) for joint feature selection and clustering of heavily multidimensional data.
machine-learning
clustering
feature-selection
gap
feature-engineering
auto-ml
single-cell-rna-seq
mass-spectrometry-imaging
omics-analysis
divik
unsupervised-auto-ml
auto-clustering
divisive-intelligent-kmeans
dunn
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Jun 8, 2021 - Python
Automated Deep learning & Machine Learning in JavaScript, in browser locally or in node.
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May 10, 2021 - JavaScript
FastML Framework is a python library that allows to build effective Machine Learning solutions using luigi pipelines.
machine-learning
pipeline
cross-validation
regression
feature-selection
luigi
xgboost
hyperparameter-optimization
classification
lightgbm
feature-engineering
stacking
auto-ml
bagging
blending
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Mar 31, 2019 - Python
AutoKeras is an open-source library for performing AutoML for deep learning models based on Keras.In this video, I'll show you how you can use AutoKeras for Classification.
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May 29, 2021 - Jupyter Notebook
Small tutorial on auto-sklearn which is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
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May 29, 2021 - Jupyter Notebook
An AutoML system for algorithm selection (model selection)
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May 14, 2020
Simple Intelligent Learning Kit (SILK) for Machine learning
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Dec 5, 2019 - Python
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