813 Open source projects that are alternatives of or similar to Recurrent Scene Parsing With Perspective Understanding In The Loop

2D/3D geometry toolkit for Clojure/Clojurescript

3d building geometry viewer based on OpenStreetMap data

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geometry is a minimal, fully customizable and composable zsh prompt theme

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Cartopy - a cartographic python library with matplotlib support

Visualizing RNNs using the attention mechanism

Deep learning for price movement prediction using high frequency limit order data

常用的语义分割架构结构综述以及代码复现

three.js addon, to produce almost infinite many time-varying geometries / buffer geometries with functions (cylindrical coordinates)

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

DeepLab resnet v2 model in pytorch

A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method

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tensorflow version of unet

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PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

Semantic segmentation models, datasets and losses implemented in PyTorch.

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral)

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

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A d-dimensional aabb-tree implementation for MATLAB.

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

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

Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

TensorFlow and Deep Learning Tutorials

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Semantic Scene Completion

PyTorch Implementations for DeeplabV3 and PSPNet

Pas-CooGeo is coordinate geometry library for Pascal.

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

An open source library for multiview geometry and structure from motion

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Real-Time Semantic Segmentation in Mobile device

A Recurrent Neural Network to predict Bitcoin value

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Named Entity Recognition with RNN, implemented by Chainer

JSXGraph is a cross-browser library for interactive geometry, function plotting, charting, and data visualization in a web browser.

Opencv cheat sheet for C++

RNN-based generative models for speech.

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fast layer decomposition and updating

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Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

MetaPost + ConTeXt rendition of Oliver Byrne's "The first six books of the Elements of Euclid"

Model for document segmentation trained on the midv-500-models dataset.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

List of papers, code and experiments using deep learning for time series forecasting