690 Open source projects that are alternatives of or similar to BossNAS

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

This repo is about NAS

Automated deep learning algorithms implemented in PyTorch.

Encodings for neural architecture search

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

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.

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Awesome Neural Architecture Search Papers

"NAS evaluation is frustratingly hard", ICLR2020

Naszilla is a Python library for neural architecture search (NAS)

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

A curated list of automated machine learning papers, articles, tutorials, slides and projects

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

One Person, One Model, One World: Learning Continual User Representation without Forgetting

AutoGluon: AutoML for Text, Image, and Tabular Data

Genetic neural architecture search with Keras

a distributed Hyperband implementation on Steroids

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

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

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

AutoML library for deep learning

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

AutoML frAmework for Neural Networks

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

NAS-Bench-201 API and Instruction

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

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

The implementation of "Shape Adaptor: A Learnable Resizing Module" [ECCV 2020].

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

Reproducible Rapid Research for Neural Architecture Search (NAS)

my own deep learning mastery roadmap

[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

A curated list of awesome resources combining Transformers with Neural Architecture Search

An AutoDL tool for Neural Architecture Search and Hyperparameter Optimization on Tensorflow and Keras

Fast and flexible AutoML with learning guarantees.

Differentiable architecture search for convolutional and recurrent networks

Fast & Simple Resource-Constrained Learning of Deep Network Structure

PyTorch implementation of PNASNet-5 on ImageNet

TensorFlow implementation of PNASNet-5 on ImageNet

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

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification (ICCV2021)

A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.

List of Publications in Graph Contrastive Learning

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

Implementation of autoregressive language model using improved Transformer and DeepSpeed pipeline parallelism.

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

sspender helps you suspend your server (and spindown disks) when idle.

Variants of Vision Transformer and its downstream tasks

Learnable Embedding Space for Efficient Neural Architecture Compression

A curated list of awesome graph & self-supervised-learning-based recommendation.

PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASSP 2020)

Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2

Natural World Tasks

Production First and Production Ready End-to-End Speech Recognition Toolkit

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

基于Tensorflow2开发的优秀扩展包及项目

机器翻译子任务-翻译质量评价-复现 WMT2018 阿里论文结果