1 Stage WsegSingle-Stage Semantic Segmentation from Image Labels (CVPR 2020)
Stars: ✭ 279 (+771.88%)
adversarial-attacksCode for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"
Stars: ✭ 90 (+181.25%)
Machine Learning Curriculum💻 Make machines learn so that you don't have to struggle to program them; The ultimate list
Stars: ✭ 761 (+2278.13%)
CindyjsA JavaScript framework for interactive (mathematical) content.
Stars: ✭ 495 (+1446.88%)
sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
Stars: ✭ 28 (-12.5%)
pcc geo cnnLearning Convolutional Transforms for Point Cloud Geometry Compression
Stars: ✭ 44 (+37.5%)
LstmvisVisualization Toolbox for Long Short Term Memory networks (LSTMs)
Stars: ✭ 959 (+2896.88%)
entity-networkTensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.
Stars: ✭ 58 (+81.25%)
BonnetBonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.
Stars: ✭ 274 (+756.25%)
alchemyGenerate any a-by-( b + c ) finite rectangle SVG containing potentially Infinitely many a-by-( 2 * b ) finite rectangles animated along a number line of ( ( c - b ) / a )^n scale symmetry.
Stars: ✭ 29 (-9.37%)
WicketA modest library for moving between Well-Known Text (WKT) and various framework geometries
Stars: ✭ 484 (+1412.5%)
kitti deeplabInference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.
Stars: ✭ 26 (-18.75%)
Semantic Kitti ApiSemanticKITTI API for visualizing dataset, processing data, and evaluating results.
Stars: ✭ 272 (+750%)
Fast-SCNN pytorchA PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)
Stars: ✭ 30 (-6.25%)
super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
Stars: ✭ 429 (+1240.63%)
Intersectsa simple collection of 2d collision/intersects functions. Supports points, circles, ellipses, lines, axis-aligned boxes, and polygons
Stars: ✭ 270 (+743.75%)
EspnetESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
Stars: ✭ 473 (+1378.13%)
g2dCraft beautiful geometric art using code.
Stars: ✭ 40 (+25%)
Portrait mattingImplementation of "Automatic Portrait Segmentation" and "Deep Automatic Portrait Matting" with Chainer.
Stars: ✭ 267 (+734.38%)
datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
Stars: ✭ 20 (-37.5%)
SUIMSemantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020
Stars: ✭ 53 (+65.63%)
ColmapCOLMAP is a general-purpose Structure-from-Motion (SfM) and Multi-View Stereo
(MVS) pipeline with a graphical and command-line interface. It offers a wide
range of features for reconstruction of ordered and unordered image collections.
The software is licensed under the new BSD license. If you use this project for
your research, please cite:
Stars: ✭ 3,479 (+10771.88%)
DeepLab-V3Google DeepLab V3 for Image Semantic Segmentation
Stars: ✭ 103 (+221.88%)
Pytorch UnetSimple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
Stars: ✭ 470 (+1368.75%)
Microsoft.SqlServer.Typesa .NET Standard implementation of the spatial types in `Microsoft.SqlServer.Types`
Stars: ✭ 64 (+100%)
Lightweight SegmentationLightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).
Stars: ✭ 261 (+715.63%)
LightnetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Stars: ✭ 698 (+2081.25%)
flexinferA flexible Python front-end inference SDK based on TensorRT
Stars: ✭ 83 (+159.38%)
Torchsat🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
Stars: ✭ 261 (+715.63%)
deeplabv3plus-kerasdeeplabv3plus (Google's new algorithm for semantic segmentation) in keras:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Stars: ✭ 67 (+109.38%)
LednetLEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation
Stars: ✭ 450 (+1306.25%)
brunoa deep recurrent model for exchangeable data
Stars: ✭ 34 (+6.25%)
Da Rnn📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)
Stars: ✭ 256 (+700%)
temporal-depth-segmentationSource code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).
Stars: ✭ 20 (-37.5%)
SscSemantic Scene Completion
Stars: ✭ 29 (-9.37%)
stanford-cs231n-assignments-2020This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
Stars: ✭ 84 (+162.5%)
nijiGeneric 2D graphics library for C++14
Stars: ✭ 26 (-18.75%)
Automated-objects-removal-inpainterAutomated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos
Stars: ✭ 88 (+175%)
Fasterseg[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
Stars: ✭ 438 (+1268.75%)
RCNN MDPCode base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
Stars: ✭ 65 (+103.13%)
Pytorch Auto DriveSegmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training
Stars: ✭ 32 (+0%)
Byrne EuclidMetaPost + ConTeXt rendition of Oliver Byrne's "The first six books of the Elements of Euclid"
Stars: ✭ 960 (+2900%)
Midv 500 ModelsModel for document segmentation trained on the midv-500-models dataset.
Stars: ✭ 31 (-3.12%)
Deep Learning Time SeriesList of papers, code and experiments using deep learning for time series forecasting
Stars: ✭ 796 (+2387.5%)
PywickHigh-level batteries-included neural network training library for Pytorch
Stars: ✭ 320 (+900%)