353 Open source projects that are alternatives of or similar to vframe

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UI for Keras to implement image classification written in python and django

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

LibFewShot: A Comprehensive Library for Few-shot Learning.

Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.

Redux reducers without constants and dispatching!

Serving PyTorch models with TorchServe 🔥

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

A TensorFlow implementation of Group Normalization on the task of image classification

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Real time image classification with React Native and Tensorflow lite.

A unified program to check predictions of different convolutional neural networks for image classification.

Pytorch implementation of pyramidnet

Image annotation tool to make Machine Learning or others stuffs

Impementation of MobileNetV2 in pytorch

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

Accelerated deep learning R&D

Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

A collaborative tool for labeling image data for yolo

PyTorch implementation of shake-drop regularization

Image classification for everyone.

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

A file system forensics analysis scanner and threat hunting tool. Scans file systems at the MFT and OS level and stores data in SQL, SQLite or CSV. Threats and data can be probed harnessing the power and syntax of SQL.

Modernize and Extend: JPetStore on IBM Cloud Kubernetes Service

Chrome browser extension for using TensorFlow image recognition on web pages

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

Binary Image Classification in TensorFlow

[ICLR2022] official implementation of UniFormer

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

Tool to gather main colors of an image using Unity.

Traffic Sign Recognition with Keras.

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Remove content from your digital documents irretrievably instead of just covering it up. Redact text, images, parts of images or drawings for complete confidentiality. iText pdfSweep complies with GDPR for data redaction.

Tensorflow Image classifier that can predict the breed of a dog from it photo. Trained on image dataset of 5 different breed of dogs (rottweiler, bulldog, pug, german shepherds, labrador). Interestingly the classifier was able to predict the breed of the dogs even from images of their toys.

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

Deep Metric Transfer for Label Propagation with Limited Annotated Data

A short tutorial on performing fine tuning or transfer learning in PyTorch.

Parametric Contrastive Learning (ICCV2021)

TensorFlow implementation of GoogLeNet and Inception for image classification.

Balanced Multiclass Image Classification with TensorFlow on Python.

A UI tool for quickly training image classifiers in the browser

Paper notes in deep learning/machine learning and computer vision

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

MyBB CAPTCHA Solver using Convolutional Neural Network in Keras

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络，图像生成网络等，并会持续更新！！！

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

Pre-trained VGG-Net Model for image classification using tensorflow

Deep learning codes and projects using Python

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

Nudity detection with JavaScript and HTMLCanvas

Implementation of Conv-based and Vit-based networks designed for CIFAR.

A list of popular deep learning models related to classification, segmentation and detection problems

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A simple logo classifier developed using Maixduino framework and PlatfomIO, to run on K210 MCU on Sipeed's Maix dev board.

Forensic Analysis Tool for Btrfs File System.