Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
Ergonomic machine learning for everyone.
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May 26, 2022 - Python
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auto-ml
Here are 71 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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Jun 21, 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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Jul 9, 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
lebrice
commented
Mar 30, 2022
Since we dropped support for python 3.6, and python dictionaries are ordered since python 3.7, we can now replace most uses of collections.OrderedDict with the built-in dict, and also remove the need to sort dicts before comparing keys, for example when constructing trials / spaces / etc.
This is obviously a very low-priority TODO that will serve to slightly increase the quality of the code
good first issue
Indicates a good issue for first-time contributors
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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Jun 22, 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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May 26, 2022 - Python
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
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Apr 15, 2022 - 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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May 12, 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 consists of Assignments and projects of the iNeuron Full Stack Data Science Course
python
nlp
data-science
machine-learning
natural-language-processing
cloud
statistics
sql
computer-vision
deep-learning
excel
linear-regression
exploratory-data-analysis
bigdata
datascience
recommender-system
tableau
auto-ml
dataanalytics
pytroch
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Jun 7, 2022 - Jupyter Notebook
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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Jul 5, 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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Jul 8, 2022 - Jupyter Notebook
Semi-Auto Machine Learning Library by d4rk-lucif3r
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Jun 17, 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
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From a complexity perspective, this ticket is at an easy level.