799 Open source projects that are alternatives of or similar to PAPC

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Some parts of my code for the Computer Vision Kaggle Bengali AI Handwritten Grapheme Classification competition

Fast English word segmentation in Rust

Satellite Imagery Feature Detection (68 out of 419)

HyperSeg - Official PyTorch Implementation

LAMA - automatic model creation framework

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

Fake News Detection in Python

Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

PaddlePaddle to ONNX model converter

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

Research Pipeline for image masking/segmentation in Keras

Advanced Normalization Tools in R

My (slightly modified) Keras implementation of the Recurrent Convolutional Neural Network (RCNN) described here: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9745.

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

The official SNOMED CT OWL Toolkit. OWL conversion, classification and authoring support.

Taxonomies used in MISP taxonomy system and can be used by other information sharing tool.

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

Distributed segmentation for bio-image-analysis

A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss

Detect the programming language of a source code

Online machine learning methods

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Visual SLAM system that can identify and exclude dynamic objects.

MERlin is an extensible analysis pipeline applied to decoding MERFISH data

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

Code and Resources for "Applied Machine Learning"

R package to Embed All the Things! using StarSpace

Simple sign language alphabet recognizer using Python, openCV and tensorflow for training Inception model (CNN classifier).

Model verification, validation, and error analysis

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

🍰🍎ColugoMum--Intelligent Retail Settlement Platform can accurately locate and identify each commodity, and can return a complete shopping list and the actual total price of commodities that customers should pay.

deep-learning platforms,framework,data（深度学习平台、框架、资料）

Semi-Supervised Video Object Segmentation(VOS) Paper List

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

MONAI Label is an intelligent open source image labeling and learning tool.

R-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.

Darknet2ncnn converts the darknet model to the ncnn model

Implementation of Basic Digital Image Processing Tasks in Python / OpenCV

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

PaddlePaddle Tutorial for Deep Learning Researchers.

A basic framework for pulmonary nodule detection and characterization in CT

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

Line Segmentation of Handwritten Documents using the A* Path Planning Algorithm

A segmentation engine for Django user models

[CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation

Cut and paste augmentation for object detection and instance segmentation

Fine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.

Port of PragmaticSegmenter for sentence boundary detection

Medical image segmentation ( Eye vessel segmentation)

🍞 基于深度学习方法的图像分割（含语义分割、实例分割、全景分割）。

Example of semantic segmentation in Keras