53 Open source projects that are alternatives of or similar to SnapStitch

Create mxnet finetuner (retrain) for mac/linux ,no need install docker and supports CPU, GPU(eGpu/cudnn).support the inception,resnet ,squeeznet,mobilenet...

DSNet: A Flexible Detect-to-Summarize Network for Video Summarization

IMPLEMENT AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

A PyTorch implementation of VSumPtrGAN

A curated list of the Video Summarization subject which is a computer science using machine learning and deep learning

Course Project for CS771: Machine Learning

自动化运维平台: 代码及应用部署CI/CD、资产管理CMDB、计划任务管理平台、SQL审核|回滚、任务调度、站内WIKI

TensorFlow implementation of GoogLeNet and Inception for image classification.

SQL 审核查询平台

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Official Function and Template Store for OpenFaaS

Host yo' self from your browser, your phone, your toaster.

Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.

🍭A web platform designed for mysql inception

A one stop shop for all of your activity recognition needs.

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

基于inception的自动化SQL操作平台，支持SQL执行、LDAP认证、发邮件、OSC、SQL查询、SQL优化建议、权限管理等功能，支持docker镜像

基于开源组件（Inception & SQLAdvisor & SOAR）的SQL审核&SQL优化的Web平台

EPIC-KITCHENS-55 baselines for Action Recognition

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

On-device image recognition via TensorFlow/Inception. For Cordova/PhoneGap.

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

High level network definitions with pre-trained weights in TensorFlow

Example Tensorflow Processor using Java API for Apache NiFi 1.2 - 1.9.1+

一个集审核、执行、备份及生成回滚语句于一身的MySQL运维工具

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

猫狗大战

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

linux资产管理,cmdb,django, webssh,运维管理平台，数据库操作平台 本项目已停止开发！因长时间未对代码进行维护，可能会造成项目在不同环境上无法部署、运行BUG等问题，请知晓！项目仅供参考！

Gathers scalable tensorflow and infrastructure deployment

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

InceptionTime: Finding AlexNet for Time Series Classification

InceptionV3, InceptionV4, Inception-Resnet pretrained models for Torch7 and PyTorch

A simple image classification test using Core ML and Inception V3 model in Objective-C

A sample for tensorflow retraining

Generative deep learning: DeepDream

Inflated 3D ConvNets for video understanding

基于Inception，一个审计、执行、回滚、统计sql的开源系统

IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.

No description or website provided.

Electronic component detection, identification and recognition system in realtime from camera image using react-native and tensorflow for classification along with Clarifai API with option to search the component details from web with description shown from Octopart fetched from server

PyTorch implementation of DeepDream algorithm

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

TensorFlow ImageNet - Training and SOTA checkpoints

DeepDream psychodelic image generator.

一个集审核、执行、备份及生成回滚语句于一身的MySQL自动化运维工具（inception） 的增强版本

No description or website provided.

Real-time Object Recognition using Apple's CoreML 2.0 and Vision API -

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

No description or website provided.

Inception model used to classify camera feed on real time. Coded during the Deep Learning Hackathon 2017 San Francisco

记录每一个常用的深度模型结构的特点（图和代码）