3033 Open source projects that are alternatives of or similar to Paddlex

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

《深度学习与计算机视觉》配套代码

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

A Python toolbox for computer vision research and project

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

Deep neural network to extract intelligent information from invoice documents.

AI Papers

Video Platform for Action Recognition and Object Detection in Pytorch

List of articles related to deep learning applied to music

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Sparse and structured neural attention mechanisms

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

OpenMMLab Model Compression Toolbox and Benchmark.

Tensorflow implementation : U-net and FCN with global convolution

🙄 Difficult algorithm, Simple code.

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Resurces for MRI images processing and deep learning in 3D

Holistically-Nested Edge Detection

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

DeepFaceLab is the leading software for creating deepfakes.

Deepfakes Software For All

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

LUNA16-Lung-Nodule-Analysis-2016-Challenge

Develop production ready deep learning code, deploy it and scale it

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

machine learning and deep learning tutorials, articles and other resources

High level network definitions with pre-trained weights in TensorFlow

Implementation of Quickdraw - an online game developed by Google

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Collections of model quantization algorithms

Papers and Datasets about Point Cloud.

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

Tunable U-Net implementation in PyTorch

Voice Activity Detection based on Deep Learning & TensorFlow

yolo3 implement by tensorflow， including mobilenet_v1, mobilenet_v2

All DeepLearning4j projects go here.

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

Awesome GAN for Medical Imaging

Service Classification based on Service Description

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Segmentation models with pretrained backbones. PyTorch.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

All-in-one Toolbox for Computer Vision Research.

3D Unet Equipped with Advanced Deep Learning Methods

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Deep Learning Toolkit for Medical Image Analysis

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow