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
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
A list of Training-Free NAS papers.
Building Layer Recommendation System for Auto-DL's Core repository
An up-to-date list of progress made in neural architecture search
Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.
The MLOps platform for innovators 🚀
Auto-DL helps you make Deep Learning models without writing a single line of code and giving as little input as possible.
Python library and dashboard for hyperparameter search and model training for computer vision tasks based on PyTorch, Optuna, FiftyOne, Dash, Segmentation Model Pytorch.
An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras
Reproduce alpaca
collecting related resources of automated machine learning here
some scripts for stable-diffusion-webui in the autodl
Package: R Interface to AutoKeras
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.
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