354 Open source projects that are alternatives of or similar to Pnasnet.tf

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

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

Segmentation models with pretrained backbones. PyTorch.

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Trial on kaggle imagenet object localization by yolo v3 in google cloud

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

Caffe Implementation of Google's MobileNets (v1 and v2)

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

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

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

Neural Architecture Search Powered by Swarm Intelligence 🐜

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

Awesome Resources for Advanced Computer Vision Topics

Federated Learning Library: https://fedml.ai

A full pipeline AutoML tool for tabular data

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.

MobileNetV3 in pytorch and ImageNet pretrained models

PSPNet in Chainer

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

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

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

The official repo for CVPR2021——ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search.

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

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

Google Cloud Platform Machine Learning Samples

An autoML framework & toolkit for machine learning on graphs.

Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022

Primitives for machine learning and data science.

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

Sequential Model-based Algorithm Configuration

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

NAS-Bench-201 API and Instruction

Open Set Recognition

Train ResNet on ImageNet in Tensorflow 2.0; ResNet 在ImageNet上完整训练代码

Distributed Asynchronous Hyperparameter Optimization better than HyperOpt. 比HyperOpt更强的分布式异步超参优化库。

Unsupervised Feature Learning via Non-parametric Instance Discrimination

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

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

A framework for large scale recommendation algorithms.

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

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

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

Unofficial PyTorch Reimplementation of RandAugment.

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL

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

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Open source face recognition on Raspberry Pi. SharpAI is open source stack for machine learning engineering with private deployment and AutoML for edge computing. DeepCamera is application of SharpAI designed for connecting computer vision model to surveillance camera. Developers can run same code on Raspberry Pi/Android/PC/AWS to boost your AI production development.

A Harder ImageNet Test Set (CVPR 2021)

ZazuML - easy AutoML for Object Detection