#
hyperparameter-tuning
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Time Series Forecasting Best Practices & Examples
python
machine-learning
r
deep-learning
time-series
best-practices
jupyter-notebook
tidyverse
artificial-intelligence
forecasting
lightgbm
retail
prophet
hyperparameter-tuning
demand-forecasting
automl
model-deployment
azure-ml
dilated-cnn
-
Updated
May 21, 2021 - Python
Determined: Deep Learning Training Platform
kubernetes
machine-learning
deep-learning
tensorflow
pytorch
hyperparameter-optimization
hyperparameter-tuning
hyperparameter-search
distributed-training
ml-infrastructure
ml-platform
-
Updated
Aug 18, 2021 - Python
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
reinforcement-learning
keras
mcts
hyperparameter-optimization
evolutionary-algorithms
nas
monte-carlo-tree-search
hyperparameter-tuning
automl
neural-architecture-search
nasnet
enas
autodl
-
Updated
Aug 17, 2021 - Python
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
reinforcement-learning
optimization
openai-gym
hyperparameters
openai
gym
hyperparameter-optimization
rl
zoo
hyperparameter-tuning
hyperparameter-search
pybullet
stable-baselines
-
Updated
Feb 6, 2021 - Python
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
machine-learning
deep-learning
random-forest
optimization
svm
genetic-algorithm
machine-learning-algorithms
hyperparameter-optimization
artificial-neural-networks
grid-search
tuning-parameters
knn
bayesian-optimization
hyperparameter-tuning
random-search
particle-swarm-optimization
hpo
python-examples
python-samples
hyperband
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Updated
Jun 21, 2021 - Jupyter Notebook
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
python
data-science
machine-learning
ai
deep-learning
neural-network
optimization
scikit-learn
sklearn
keras
ml
artificial-intelligence
xgboost
hyperparameter-optimization
experimentation
lightgbm
feature-engineering
hyperparameter-tuning
catboost
rgf
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Updated
Jan 20, 2021 - Python
Sequential Model-based Algorithm Configuration
configuration
hyperparameter-optimization
bayesian-optimization
hyperparameter-tuning
automl
automated-machine-learning
hyperparameter-search
bayesian-optimisation
algorithm-configuration
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Updated
Aug 17, 2021 - Python
Tuning hyperparams fast with Hyperband
machine-learning
hyperparameters
hyperparameter-optimization
hyperparameter-tuning
gradient-boosting-classifier
gradient-boosting
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Updated
Aug 15, 2018 - Python
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
training
ai
computer-vision
annotation
etl
tensorflow
pipelines
inference
pytorch
tensorboard
jupyterlab
machinelearning
deeplearning
labeling
workflows
hyperparameter-tuning
aiops
mlops
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Updated
Aug 12, 2021 - Go
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
deep-learning
neural-network
coursera
recurrent-neural-networks
neural-networks
hyperparameter-optimization
regularization
convolutional-neural-networks
neural-machine-translation
coursera-machine-learning
convolutional-neural-network
hyperparameter-tuning
andrew-ng
coursera-assignment
cnns
rnns
andrew-ng-course
recurrent-neural-network
neural-style-transfer
coursera-specialization
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Updated
Jul 3, 2021 - Jupyter Notebook
guillaume-chevalier
commented
Jun 28, 2021
Describe the bug
Code could be more conform to pep8 and so forth.
Expected behavior
Less code st
angela97lin
commented
Aug 9, 2021
There are both BaseSampler
and SamplerBase
classes. This issue tracks determining the difference between the two and if we can combine / use just one base class.
A web-based dashboard for Deep Learning
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Updated
Jun 4, 2017 - JavaScript
Human-explainable AI.
python
data-science
machine-learning
statistics
simulation
model-selection
data-analytics
hyperparameter-tuning
interpretability
explainable-ai
shap-vector-decomposition
-
Updated
Jul 28, 2021 - Jupyter Notebook
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
machine-learning
deep-learning
keras
hyperparameter-optimization
machine-learning-library
bayesian-optimization
hyperparameter-tuning
hyperparameter-search
hyperparameter-grid
-
Updated
Oct 18, 2020 - JavaScript
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
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Updated
Aug 2, 2021 - Python
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
reinforcement-learning
robotics
optimization
lab
openai
gym
hyperparameter-optimization
rl
sde
hyperparameter-tuning
hyperparameter-search
pybullet
stable-baselines
pybullet-environments
tuning-hyperparameters
-
Updated
Aug 13, 2021 - Python
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
machine-learning
programming
deep-learning
optimization
neural-networks
deep-learning-tutorial
hyperparameter-tuning
-
Updated
Aug 23, 2020 - Jupyter Notebook
Gradient based Hyperparameter Tuning library in PyTorch
machine-learning
deep-learning
pytorch
neural-networks
hyperparameter-tuning
automl
learning-rate-scheduling
-
Updated
Jul 17, 2020 - Python
Library for Semi-Automated Data Science
python
data-science
machine-learning
scikit-learn
artificial-intelligence
interoperability
hyperparameter-optimization
hyperparameter-tuning
ibm-research
automl
automated-machine-learning
dataquality
hyperparameter-search
ibm-research-ai
pipeline-tests
pipeline-testing
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Updated
Aug 18, 2021 - Python
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
natural-language-processing
hyperparameter-optimization
topic-modeling
bayesian-optimization
hyperparameter-tuning
latent-dirichlet-allocation
evaluation-metrics
neural-topic-models
latent-semantic-analysis
topic-models
hyperparameter-search
non-negative-matrix-factorization
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Updated
Aug 8, 2021 - Python
Sentence Classifications with Neural Networks
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Updated
May 21, 2021 - Python
An automatic ML model optimization tool.
data-science
machine-learning
deep-learning
data-engineering
neural-networks
hyperparameter-optimization
hyperparameter-tuning
hpo
automl
automated-machine-learning
-
Updated
May 21, 2021 - Python
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
deep-learning
hyperparameters
hyperparameter-optimization
deepmind
hyperparameter-tuning
pbt
hyperparameter-search
population-based-training
-
Updated
Jan 31, 2018 - Python
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
machine-learning
deep-neural-networks
deep-learning
hyperparameter-optimization
hyperparameter-tuning
automl
-
Updated
Nov 7, 2018 - 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
-
Updated
Mar 7, 2021 - Python
AutoML frAmework for Neural Networks
deep-learning
tensorflow
pytorch
neural-networks
image-classification
hyperparameter-tuning
automl
neural-architecture-search
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Updated
Nov 1, 2018 - Python
Parallel Hyperparameter Tuning in Python
machine-learning
neural-network
parallel-computing
neural-networks
hyperparameter-optimization
tuning-parameters
gaussian-processes
bayesian-optimization
hyperparameter-tuning
cluster-deployment
sklearn-compatible
kubernetes-deployment
tensorflow-examples
blackbox-optimization
production-system
keras-examples
scipy-compatible
pytorch-compatible
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Updated
Aug 8, 2021 - Jupyter Notebook
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
tensorflow
keras
cnn
hyperparameter-optimization
hyperopt
hyperparameters-optimization
hyperparameter-tuning
cnn-keras
hyperparameter-search
-
Updated
May 6, 2018 - Python
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Building the doc fails for example
40_advanced/example_single_configurations
on the current development branchLogs here