1204 Open source projects that are alternatives of or similar to Pointasnl

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.

Entropy for Python

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Awesome GAN for Medical Imaging

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Patch-base progressive 3D Point Set Upsampling

Example Play Slick Project

Machine Vision Toolbox for MATLAB

CloudCompare main repository

Neural Point-Based Graphics

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.

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

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

Repository for my video series on building an iOS app in .NET.

Training, evaluation and testing code for image classification using TensorFlow

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Speech commands recognition with PyTorch

Handwritten Digit Recognition using Machine Learning and Deep Learning

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Neural word segmentation with rich pretraining, code for ACL 2017 paper

A lexicon for Sudachi

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

Comparison tools

Paper and implementation of UNet-related model.

AI and machine leaning-based computer vision for a robot

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

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Android MVP Basic Sample

Convolutional (Patch) Networks for Semantic Segmentation

Lightweight and Accurate Point Cloud Clustering

IPython widgets, interactive plots, interactive machine learning

Download videos as mp3 directly from Youtube Android App

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

Implementation of active contour loss function

code/webpage for the DeepMapping project

👍🏼 Awesome animated switch

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

DoneIt is a sample note app 📝 Flutter application 📱 built to demonstrate use of Clean Architecture tools. Dedicated to all Flutter Developers with ❤️.

Cluster based segmentation of Point Cloud with PCL lib in ROS

Code for Pointwise Convolutional Neural Networks, CVPR 2018

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.

An awesome semantic segmentation model that runs in real time

Transfer Learning for Anime Characters Recognition

3D Unet for Isointense Infant Brain Image Segmentation

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Text tokenization and sentence segmentation (segtok v2)

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding

任何 JS 环境可用的中文分词包，fork from leizongmin/node-segment

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

Multi-object image datasets with ground-truth segmentation masks and generative factors.

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

Implemented by Clean Architecture, Dagger2, MVVM, LiveData, RX, Retrofit2, Room, Anko

[DEPRECATED] Sample Docker image for IBM® MQ

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

Lung fields segmentation on CXR images using convolutional neural networks.

Object classification with CIFAR-10 using transfer learning

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

cGAN-based Multi Organ Nuclei Segmentation

A learned sampling approach for point clouds (CVPR 2019)