2019 Open source projects that are alternatives of or similar to Nni

Automated deep learning algorithms implemented in PyTorch.

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Official PyTorch code for CVPR 2021 paper "AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation"

Yes, it's a camel case.

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Maze Applied Reinforcement Learning Framework

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No description or website provided.

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

Feature engineering package with sklearn like functionality

A repo with tutorials for algorithms from scratch

A PureScript, browser-based implementation of LDA topic modeling.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

A curated list of awesome Distributed Deep Learning resources.

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

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Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Differentiable architecture search for convolutional and recurrent networks

PyTorch implementation of PNASNet-5 on ImageNet

Fast and flexible AutoML with learning guarantees.

R package to interface with OpenML

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Parallel random matrix tools and complexity for deep learning

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[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

The best resources around Machine Learning

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

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This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

A hyperparameter optimization framework

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

NAS-Bench-201 API and Instruction

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