123 Open source projects that are alternatives of or similar to Lycoris

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

Online Learning for Human Detection in 3D Point Clouds

Implementation of Accurate Online Support Vector Regression in Python.

Fast and flexible AutoML with learning guarantees.

A general, modular, and programmable architecture search framework

A Flexible and Powerful Parameter Server for large-scale machine learning

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

GitBook: OSCP RoadMap

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

PyTorch implementation of PNASNet-5 on ImageNet

🌊 Online machine learning in Python

AutoML library for deep learning

A clean and simple data loading library for Continual Learning

Fast & Simple Resource-Constrained Learning of Deep Network Structure

TensorFlow implementation of PNASNet-5 on ImageNet

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

DeepArchitect: Automatically Designing and Training Deep Architectures

Vue前台 + Django3.1 + DjangoRestful Framework + Ant Design Pro V4后台 开发的在线教育网站及后台管理

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

🙋 Belajar daring bersama PHPID

real-time network architecture for mobile devices and semantic segmentation

Automated deep learning algorithms implemented in PyTorch.

Composable GAN framework with api and user interface

AutoGluon: AutoML for Text, Image, and Tabular Data

DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

A curated list of awesome architecture search resources

Single Path One-Shot NAS MXNet implementation with full training and searching pipeline. Support both Block and Channel Selection. Searched models better than the original paper are provided.

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

This directory contains code necessary to run the GraphNAS algorithm.

Genetic neural architecture search with Keras

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

PaddleSlim is an open-source library for deep model compression and architecture search.

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

Federated Learning Library: https://fedml.ai

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

a distributed Hyperband implementation on Steroids

"NAS evaluation is frustratingly hard", ICLR2020

Course demo code and other hand-out materials for our data-driven web apps in Flask course

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

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

Bridging the gap Between Stability and Scalability in Neural Architecture Search

Differentiable architecture search for convolutional and recurrent networks

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

Online examples from "Boost C++ Application Development Cookbook":

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

Stream Processing and Complex Event Processing Engine

NSGA-Net, a Neural Architecture Search Algorithm

aw_nas: A Modularized and Extensible NAS Framework

SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

AutoML frAmework for Neural Networks

[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang