Ergonomic machine learning for everyone.
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Feb 9, 2022 - Python
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auto-ml
Here are 63 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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Feb 10, 2022 - 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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Mar 31, 2022 - 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
Jan 19, 2022
Some parts of the doc contain references to using templates in the commandline in format --cmd-arg~trial.hash_name. This is deprecated, the correct format is --cmd-args "{trial.hash_name}".
bug
Indicates an unexpected problem or unintended behavior
good first issue
Indicates a good issue for first-time contributors
documentation
Regarding description, documentation, tutorials, etc
low
Superficial problem that doesn't affect the correctness (e.g., formatting, spelling, colors)
NSGA-Net, a Neural Architecture Search Algorithm
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Aug 19, 2019 - Python
(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation
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Sep 23, 2021 - Python
aw_nas: A Modularized and Extensible NAS Framework
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Mar 12, 2022 - 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
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
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
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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Feb 10, 2022 - 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
D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.
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Mar 11, 2022 - Jupyter Notebook
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
python
machine-learning
deep-neural-networks
timeseries
deep-learning
time-series
forecasting
multivariate
ecg-signal
sensors
forecasting-models
time-series-analysis
auto-ml
interpretable-ai
explainable-ml
siamese-neural-network
auto-timeseries
nowcasting-models
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Dec 27, 2021 - Jupyter Notebook
An assistive stove-top cooking device with machine vision - for domestic automation research
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Nov 11, 2020 - Python
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
mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens
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Oct 16, 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
HyPSTER - HyperParameter optimization on STERoids
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Apr 9, 2020 - Python
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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Mar 12, 2022 - Python
Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.
data-science
machine-learning
insurance
hyperparameter-optimization
feature-engineering
insurance-company
bayesian-optimization
automl
low-code
insurance-team
automated-machine-learning
auto-ml
insurance-claims
elyra
elyra-community
insurance-scoring
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Mar 29, 2022 - Jupyter Notebook
Semi-Auto Machine Learning Library by d4rk-lucif3r
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Jan 16, 2022 - Python
a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合
nlp
data-science
machine-learning
text-mining
data-mining
awesome
deep-learning
time-series
tensorflow
sklearn
machine-learning-algorithms
cv
data-visualization
pytorch
fintech
data-analysis
awesome-list
recommender-system
auto-ml
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Dec 30, 2021 - Python
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
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
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