An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
machine-learning
deep-learning
data-science
python
tensorflow
mlops
pytorch
hyperparameter-optimization
hyperparameter-tuning
machine-learning-algorithms
model-compression
nas
neural-architecture-search
neural-network
automated-machine-learning
automl
bayesian-optimization
deep-neural-network
distributed
feature-engineering
Обновлено 2024-07-03 13:54:08 +03:00
Multi-species bioacoustic classification using deep learning algorithms
Обновлено 2024-06-18 01:58:08 +03:00
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
docker
reinforcement-learning
simulator
finance
inventory-management
logistics
maro
multi-agent
multi-agent-reinforcement-learning
operations-research
raas
resource-optimization
rl-algorithms
transportation
agent
citi-bike
Обновлено 2024-02-23 11:45:58 +03:00
Lite Self-Training
Обновлено 2023-07-25 20:31:38 +03:00
Synthesizer for optimal collective communication algorithms
Обновлено 2023-07-21 21:16:40 +03:00
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
deep-learning
automl
neural-architecture-search
image-classification
cifar-100
cifar10
deep-learning-algorithms
imagenet
Обновлено 2023-06-12 21:22:32 +03:00
Logarithmic Reinforcement Learning
reinforcement-learning
algorithms
algorithm
discount
discount-factor
dqn
gap
log-rl
logrl
rl
action-gap
Обновлено 2023-03-25 04:36:23 +03:00
Algorithms to find Bertrand Nash equilibria in pricing games
Обновлено 2022-11-28 22:12:35 +03:00
Algorithms to find consecutive integers that are smooth
Обновлено 2022-09-09 21:16:12 +03:00