Automated static analysis & linting bot for Mozilla repositories
Обновлено 2024-11-19 19:34:39 +03:00
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
machine-learning
deep-learning
python
pytorch
hyperparameter-optimization
automated-machine-learning
automl
model-compression
nas
neural-architecture-search
darts
petridish
Обновлено 2024-10-23 20:40:41 +03:00
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
Automated auto-assessment with PyBryt via GitHub Actions
Обновлено 2022-03-01 19:34:29 +03:00
methods2test is a supervised dataset consisting of Test Cases and their corresponding Focal Methods from a set of Java software repositories
Обновлено 2022-01-20 03:56:30 +03:00
An automated and scalable approach to generate tasklets from a natural language task query and a website URL. Glider does not require any pre-training. Glider models tasklet extraction as a state space search, where agents can explore a website’s UI and get rewarded when making progress towards task completion. The reward is computed based on the agent’s navigating pattern and the similarity between its trajectory and the task query.
Обновлено 2021-09-03 06:52:47 +03:00
Mobile-device manager for automated-test frameworks
Обновлено 2020-08-13 21:54:32 +03:00