386 Open source projects that are alternatives of or similar to Awesome Nas Papers

This repository contains landmark research papers in Natural Language Processing that came out in this century.

The Ruby Bibliography

aw_nas: A Modularized and Extensible NAS Framework

List of some useful blogs, books, courses, papers etc. 📚

Library for Semi-Automated Data Science

Deep Reinforcement Learning Notes

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

🐙 🐙图形学论文实现

Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

Awesome-pytorch-list 翻译工作进行中......

A curated list of awesome embedding models tutorials, projects and communities.

EvalML is an AutoML library written in python.

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

Paper list and source code for multi-object-tracking

All latest image/burst/video Denoising papers with code & citation published in top conference and journal.

This directory contains code necessary to run the GraphNAS algorithm.

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

Landmark Papers in Machine Learning

[CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks

Open-source implementation of Google Vizier for hyper parameters tuning

DeepArchitect: Automatically Designing and Training Deep Architectures

Automated Data Science and Machine Learning library to optimize workflow.

NSGA-Net, a Neural Architecture Search Algorithm

Awesome Resources for Advanced Computer Vision Topics

Provide an input CSV and a target field to predict, generate a model + code to run it.

Official Implementation of 'Fast AutoAugment' in PyTorch.

Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.

OpenML AutoML Benchmarking Framework

Summaries of the papers that are discussed by VLG.

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

深度学习论文阅读路线图

A curated list of research papers in Vision-Language Navigation (VLN)

Distributed High-Performance symbolic regression in Julia

A curated list of deep learning image classification papers and codes

论文阅读，欢迎大家投稿自己阅读过的论文。

Java and Kotlin Code samples used on cloud.google.com

A specially designed light version of Fast AutoAugment

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

A resource repository for sketch based deep learning papers

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Neural architecture search(NAS)

Books, papers and links to latest research in ML/AI

Build a full-featured home server or NAS replacement with an Ubuntu box and this playbook.

openmediavault is the next generation network attached storage (NAS) solution based on Debian Linux. It contains services like SSH, (S)FTP, SMB/CIFS, DAAP media server, RSync, BitTorrent client and many more. Thanks to the modular design of the framework it can be enhanced via plugins. OpenMediaVault is primarily designed to be used in home envi…

An automatic ML model optimization tool.

Bridging the gap Between Stability and Scalability in Neural Architecture Search

This project is a kind of implementation of SpineNet(CVPR 2020) using mmdetection.

MLBox is a powerful Automated Machine Learning python library.

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

A collection of papers on modules.

Ergonomic machine learning for everyone.

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

Deep Transfer Learning Papers

A list of papers on system design.

Notes and comments about Deep Reinforcement Learning papers

Systems for ML/AI & ML/AI for Systems paper reading list: A curated reading list of computer science research for work at the intersection of machine learning and systems. PR are welcome.