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

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

VIP cheatsheets for Stanford's CS 230 Deep Learning

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

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

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

Gluon CV Toolkit

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

A JavaScript framework for interactive (mathematical) content.

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

A modest library for moving between Well-Known Text (WKT) and various framework geometries

TensorFlow and Deep Learning Tutorials

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Using modified BiSeNet for face parsing in PyTorch

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

Semantic Scene Completion

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

PyTorch Implementations for DeeplabV3 and PSPNet

Char-RNN implemented using TensorFlow.

Pas-CooGeo is coordinate geometry library for Pascal.

Deep learning library for solving differential equations and more

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

QuadriFlow: A Scalable and Robust Method for Quadrangulation

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Pytorch for Segmentation

An open source library for multiview geometry and structure from motion

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

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.

TouchDesigner toxes and small projects

Real-Time Semantic Segmentation in Mobile device

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

A Recurrent Neural Network to predict Bitcoin value

A light-weight, power efficient, and general purpose convolutional neural network

Light-Weight RefineNet for Real-Time Semantic Segmentation

RMDL: Random Multimodel Deep Learning for Classification

Named Entity Recognition with RNN, implemented by Chainer

Quake .map support for Godot.

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

A semantic segmentation toolbox based on PyTorch

Opencv cheat sheet for C++

Pixel-wise segmentation on VOC2012 dataset using pytorch.

RNN-based generative models for speech.

🌍 C++11 ply 3d mesh format importer & exporter

Web labeling tool for bitmap images and point clouds

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

Powerful and efficient Computer Vision Annotation Tool (CVAT)

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

fast layer decomposition and updating

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.)

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

CRF-RNN Keras/Tensorflow version