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dsrl

Dual Super-Resolution Learning for Semantic Segmentation

edlsm_pytorch

This is a Pytorch implementation for stereo matching described in the paper: Efficient Deep learning for stereo matching

eesen

The official repository of the Eesen project

espnet

End-to-End Speech Processing Toolkit

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fcn

fcn-pytorch

🚘 Easiest Fully Convolutional Networks

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fcn.pytorch

fcnonkitti-cityscapes

This is the basic fcn model which trained on KITTI2015/Cityscapes and based on PyTorch

fda

Fourier Domain Adaptation for Semantic Segmentation

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

flowpoints_ml

An intuitive approach to creating deep learning models

gc-net

gc-net for stereo matching by using pytorch

gcnet-pytorch

This is a pytorch type of block，including Non-local block，Simple Non-local block，GC block and all GC block; refer to paper《GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond》

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

intrada

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

kitti-stereo-devkit-python

KITTI Optical Flow Evaluation 2015 devkit, but with python

kittiseg

A Kitti Road Segmentation model implemented in tensorflow.

learning2adaptforstereo

Code for: "Learning To Adapt For Stereo" accepted at CVPR2019

learnsegmentation

Implement most common semantic segmentation algorithms

lsun

LSUN Dataset Documentation and Demo Code

max-object-detector-web-app

Create a web app to visually interact with objects detected using machine learning

mcd_da

me

monodepth

Unsupervised Monocular Depth Estimation with Left-Right Consistency

monodepth-pytorch

Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch

multiclass_perceptron

An open implementation of the multi-class perceptron machine learning algorithm for classification. Built and optimized in Python.

multinet

Real-time Joint Semantic Reasoning for Autonomous Driving

nemo

NeMo: a toolkit for conversational AI