769 Open source projects that are alternatives of or similar to Multi_object_datasets

Papers and Datasets about Point Cloud.

Github repository for the paper End-to-end Animal Image Matting

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

Datasets, tools, and benchmarks for representation learning of code.

Annotation of ECG signals using deep learning, tensorflow’ Keras

Reference code for the paper "Learning Multi-Scale Photo Exposure Correction", CVPR 2021.

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

Image Aesthetics Toolkit - includes Fisher Vector implementation, AVA (Image Aesthetic Visual Analysis) dataset and fast multi-threaded downloader

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

Tensorflow Implementation of Pixel Transposed Convolutional Networks (PixelTCN and PixelTCL)

Semantic Entity Retrieval Toolkit

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Aspect-Based Sentiment Analysis Experiments

دیتاست کلمات نامناسب و بد فارسی برای فیلتر کردن متن ها

Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al

(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

Collections of model quantization algorithms

The code includes all the file that you need in the training stage for FCN

KiTS19——2019 Kidney Tumor Segmentation Challenge

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

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

Tensorflow implementation : U-net and FCN with global convolution

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

Crop/Weed Field Image Dataset

A list of useful resources in the bird sound (song and calls) recognition, such as datasets, papers, links to open source projects and competitions

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

R Package for Analyzing John Snow's 1854 Cholera Map

Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

MOTSFusion: Track to Reconstruct and Reconstruct to Track

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

Keras implementation for Pointnet

Cleaned version of the Nottingham dataset

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

CrossWeigh: Training Named Entity Tagger from Imperfect Annotations

A topic-centric list of HQ open datasets.

A place for the development version of the changepoint package on CRAN.

cGAN-based Multi Organ Nuclei Segmentation

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

Allie: A UCI compliant chess engine

Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.

Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".

datasets of natural language understanding and dialogue state tracking

3DUNet implemented with pytorch

Dstl Satellite Imagery Feature Detection

White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]

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

PyTorch Implementation of some RGBD Semantic Segmentation models.

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

No description or website provided.

CRF-RNN PyTorch version http://crfasrnn.torr.vision

ConMask model described in paper Open-world Knowledge Graph Completion.

Tensorflow implementation of the V-Net architecture for medical imaging segmentation.

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

PyTorch Implementation of Generative Query Network