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alphapose

antialiased-cnns

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

apollo

An open autonomous driving platform

arcface-caffe

insightface-caffe

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

caffe

Caffe: a fast open framework for deep learning.

caffe-fast-rcnn

Caffe fork that supports Fast R-CNN

caffe-pascalcontext-fcn32s

caffe-pruned

caffe-quant-inq

Achieve quantization way nemad 'INQ' in caffe.

caffe-segnet

Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

caffe-tensorflow

Caffe models in TensorFlow

caffe-twns

Implementation of Ternary Weight Networks In Caffe

centernetcpp

centerNet Caffe inference CPP

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks

channel_prune

Base to channel pruned to ResNet18 model

cityscapesscripts

README and scripts for the Cityscapes Dataset

coco

MS COCO API - http://mscoco.org/

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

deep-residual-networks

Deep Residual Learning for Image Recognition

deepdrive-universe

Run self-driving car agents in GTAV Universe

deepgtav

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

depthwiseconvolution

A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)

dyn_small_obs_avoidance

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit

fast_lio_lc

The tight integration of FAST-LIO with Radius-Search-based loop closure module.

fcn.berkeleyvision.org

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

fitnets

FitNets: Hints for Thin Deep Nets

flownet

Modified Version of FlowNet, specifically for adversed environment optical flow