Papers-in-100-Lines-of-Code VS nni

Compare Papers-in-100-Lines-of-Code vs nni and see what are their differences.

Papers-in-100-Lines-of-Code

Implementation of papers in 100 lines of code. (by MaximeVandegar)
Python Research Deep Learning Machine Learning implementation-of-research-paper Educational Pytorch Papers generative-model inverse-rendering nerf Artificial intelligence Gans Aes 3D meta-learning neural-radiance-fields reinforcement-learning rl diffusion-models
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nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. (by microsoft)
Automl Deep Learning neural-architecture-search hyperparameter-optimization Distributed bayesian-optimization automated-machine-learning Machine Learning machine-learning-algorithms Data Science Tensorflow Pytorch neural-network deep-neural-network model-compression feature-engineering Nas Python hyperparameter-tuning Mlops
Source Code
nni.readthedocs.io
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InfluxDB - Power Real-Time Data Analytics at Scale
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Papers-in-100-Lines-of-Code nni
3 5
582 13,765
- 0.6%
5.4 6.7
3 days ago about 2 months ago
Python Python
MIT License MIT License
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Papers-in-100-Lines-of-Code

Posts with mentions or reviews of Papers-in-100-Lines-of-Code. We have used some of these posts to build our list of alternatives and similar projects.

nni

Posts with mentions or reviews of nni. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-04.

What are some alternatives?

When comparing Papers-in-100-Lines-of-Code and nni you can also consider the following projects:

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

optuna - A hyperparameter optimization framework

taichi-ngp-renderer - An Instants-NGP renderer that has been implemented using Taichi

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

CelebV-HQ - [ECCV 2022] CelebV-HQ: A Large-Scale Video Facial Attributes Dataset

autogluon - Fast and Accurate ML in 3 Lines of Code

rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning

AutoML - This is a collection of our NAS and Vision Transformer work. [Moved to: https://github.com/microsoft/Cream]

artbench - Benchmarking Generative Models with Artworks

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

MTR - The official implementation of the paper "Rethinking Data Augmentation for Tabular Data in Deep Learning"

archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

Papers-in-100-Lines-of-Code vs EasyOCR nni vs optuna Papers-in-100-Lines-of-Code vs taichi-ngp-renderer nni vs FLAML Papers-in-100-Lines-of-Code vs CelebV-HQ nni vs autogluon Papers-in-100-Lines-of-Code vs rtdl-num-embeddings nni vs AutoML Papers-in-100-Lines-of-Code vs artbench nni vs hyperopt Papers-in-100-Lines-of-Code vs MTR nni vs archai