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

3D Heritage Online Presenter

Simple OpenCL Samples that Build with Khronos Headers and Libs

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Sources for the ITKSoftwareGuide.

LSTM and CNN sentiment analysis

Gesture Recognition using TensorFlow

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

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Multi-platform, free open source software for visualization and image computing.

Code for Pointwise Convolutional Neural Networks, CVPR 2018

This is a Flask app that can classify images of dog and cat. The underlying model is a CNN trained using Keras framework

DeepSeg : 4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger

Utilities for point cloud processing. read ply, write ply, search nearest neighbors using octree ...

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 implementation of the java pet store using FP techniques in scala

A high-level machine learning and deep learning library for the PHP language.

Point cloud importer & renderer for Unity

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

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Classification with PyTorch.

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

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

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

3DUNet implemented with pytorch

Code for Tensorflow Machine Learning Cookbook

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

Medical image preprocessing and augmentation toolkit for deep learning

Patch-based 3D U-Net for brain tumor segmentation

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

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

This is the implementation of Sparse Projection Oblique Randomer Forest

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

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

Exemplary real world application built with Golang + Gin

Measure and visualize machine learning model performance without the usual boilerplate.

Deep neural network framework for multi-label text classification

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Lung fields segmentation on CXR images using convolutional neural networks.

Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking 😄 etc.

simple rules engine

Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.

cGAN-based Multi Organ Nuclei Segmentation

xmnlp：提供中文分词, 词性标注, 命名体识别，情感分析，文本纠错，文本转拼音，文本摘要，偏旁部首等功能

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

A simple example of a project using MVP architecture and Retrofit 2.0 library for Android for beginners.

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

Using pre trained word embeddings (Fasttext, Word2Vec)

The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

Machine Learning in R

Sample shows how to add a badge to ToolBarItems in Xamarin Forms for iOS and Android

A procedural Blender pipeline for photorealistic training image generation

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you.

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Sample implementation of an application using KinectFusionLib

CNNs for semantic segmentation using Keras library

This repository consists of all my Machine Learning Projects.

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)