PaddlesegEnd-to-end image segmentation kit based on PaddlePaddle.
Stars: ✭ 1,244 (+887.3%)
LastbackendSystem for containerized apps management. From build to scaling.
Stars: ✭ 1,536 (+1119.05%)
2020 Cbms Doubleu NetDoubleU-Net for Semantic Image Segmentation in TensorFlow Keras
Stars: ✭ 86 (-31.75%)
DotnettencyMutlitenancy for dotnet applications
Stars: ✭ 100 (-20.63%)
ClusterflowA pipelining tool to automate and standardise bioinformatics analyses on cluster environments.
Stars: ✭ 85 (-32.54%)
Refinenet Image Segmentationa tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Stars: ✭ 122 (-3.17%)
UnetGeneric U-Net Tensorflow 2 implementation for semantic segmentation
Stars: ✭ 100 (-20.63%)
Raster VisionAn open source framework for deep learning on satellite and aerial imagery.
Stars: ✭ 1,248 (+890.48%)
Spacenet building detectionProject to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
Stars: ✭ 83 (-34.13%)
Universal Data ToolCollaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Stars: ✭ 1,356 (+976.19%)
Deeplab v3 plusThis is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.
Stars: ✭ 83 (-34.13%)
Unet TgsApplying UNET Model on TGS Salt Identification Challenge hosted on Kaggle
Stars: ✭ 81 (-35.71%)
Cutmixa Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
Stars: ✭ 99 (-21.43%)
SetlA simple Spark-powered ETL framework that just works 🍺
Stars: ✭ 79 (-37.3%)
MmsegmentationOpenMMLab Semantic Segmentation Toolbox and Benchmark.
Stars: ✭ 2,875 (+2181.75%)
Elektronn3A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
Stars: ✭ 78 (-38.1%)
Pytorch FcnPyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Stars: ✭ 1,351 (+972.22%)
Unix StreamTurn Java 8 Streams into Unix like pipelines
Stars: ✭ 119 (-5.56%)
GrandSource code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
Stars: ✭ 75 (-40.48%)
SupraSUPRA: Software Defined Ultrasound Processing for Real-Time Applications - An Open Source 2D and 3D Pipeline from Beamforming to B-Mode
Stars: ✭ 96 (-23.81%)
MlboxMLBox is a powerful Automated Machine Learning python library.
Stars: ✭ 1,199 (+851.59%)
Pytorch cppDeep Learning sample programs using PyTorch in C++
Stars: ✭ 114 (-9.52%)
Setr PytorchRethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Stars: ✭ 96 (-23.81%)
FlowrRobust and efficient workflows using a simple language agnostic approach
Stars: ✭ 73 (-42.06%)
Nas Segm PytorchCode for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19
Stars: ✭ 126 (+0%)
BlurrData transformations for the ML era
Stars: ✭ 96 (-23.81%)
UgeneUGENE is free open-source cross-platform bioinformatics software
Stars: ✭ 112 (-11.11%)
Multiclass Semantic Segmentation CamvidTensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
Stars: ✭ 67 (-46.83%)
Region ConvNot All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade
Stars: ✭ 95 (-24.6%)
Espnetv2 CoremlSemantic segmentation on iPhone using ESPNetv2
Stars: ✭ 66 (-47.62%)
SteppyLightweight, Python library for fast and reproducible experimentation 🔬
Stars: ✭ 119 (-5.56%)
StetlStetl, Streaming ETL, is a lightweight geospatial processing and ETL framework written in Python.
Stars: ✭ 64 (-49.21%)
SteeloverseerA file watcher and development tool.
Stars: ✭ 110 (-12.7%)
Geo Deep LearningDeep learning applied to georeferenced datasets
Stars: ✭ 91 (-27.78%)
DoccreatorDIAR software for synthetic document image and groundtruth generation, with various degradation models for data augmentation
Stars: ✭ 60 (-52.38%)
Mtlnas[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Stars: ✭ 58 (-53.97%)
ForteForte is a flexible and powerful NLP builder FOR TExt. This is part of the CASL project: http://casl-project.ai/
Stars: ✭ 89 (-29.37%)
Scrapy S3pipelineScrapy pipeline to store chunked items into Amazon S3 or Google Cloud Storage bucket.
Stars: ✭ 57 (-54.76%)
Drake ExamplesExample workflows for the drake R package
Stars: ✭ 57 (-54.76%)
DabnetDepth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)
Stars: ✭ 109 (-13.49%)
DrakeAn R-focused pipeline toolkit for reproducibility and high-performance computing
Stars: ✭ 1,301 (+932.54%)
TormesMaking whole bacterial genome sequencing data analysis easy
Stars: ✭ 56 (-55.56%)
Usss iccv19Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019
Stars: ✭ 57 (-54.76%)
Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
Stars: ✭ 1,297 (+929.37%)
Mask rcnn rosThe ROS Package of Mask R-CNN for Object Detection and Segmentation
Stars: ✭ 53 (-57.94%)
Stream Splicerstreaming pipeline with a mutable configuration
Stars: ✭ 52 (-58.73%)
Chain.jlA Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
Stars: ✭ 118 (-6.35%)
Gitlab Dashboard📺 TV dashboard for a global view on Gitlab Pipelines
Stars: ✭ 107 (-15.08%)
SeanetSelf-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation
Stars: ✭ 90 (-28.57%)