Packages and scripts developed during my research internship at CA
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Updated
Sep 26, 2020 - Jupyter Notebook
Packages and scripts developed during my research internship at CA
ruTorrent plugin for autodl-community fork of autodl-irssi
Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.
An up-to-date list of progress made in neural architecture search
A Deep Learning Automation Framework Library based on keras, sklearn for the automation of the machine learning and deeplearning algorithms training.testing,metrics,comparative analysis and visualisations
Building Layer Recommendation System for Auto-DL's Core repository
Python library and dashboard for hyperparameter search and model training for computer vision tasks based on PyTorch, Optuna, FiftyOne, Dash, Segmentation Model Pytorch.
A list of Training-Free NAS papers.
The MLOps platform for innovators 🚀
Reproduce alpaca
An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras
Package: R Interface to AutoKeras
some scripts for stable-diffusion-webui in the autodl
collecting related resources of automated machine learning here
Auto-DL helps you make Deep Learning models without writing a single line of code and giving as little input as possible.
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
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