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auggan-cross-domain-adaptation-with-gan-based-dataaugmentation

Advanced data augmentation with Generative Adversarial Networks for vehicle detection

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

cihp_pgn

Code repository for Part Grouping Network, ECCV 2018

cocoapi

COCO API - Dataset @ http://cocodataset.org/

cornernet

csrnet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

cyclegan

Tensorflow implementation of CycleGANs

cyclegan-tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

darknet

Convolutional Neural Networks

deep-photo-styletransfer-tf

Tensorflow (Python API) implementation of Deep Photo Style Transfer

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deeplearningsandbox

Blog related code for

deform_conv_pytorch

PyTorch Implementation of Deformable Convolution

detectorch

Detectorch - detectron for PyTorch

drbox

A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images

fashionai-keypointsdetectionofapparel

FashionAI Key Points Detection using CPN model in Pytorch

fashionai_keypoint_detection_challenge_keras

Code for TianChi 2018 FashionAI Cloth KeyPoint Detection Challenge

fast-neural-style-tensorflow

A tensorflow implementation for fast neural style!

fast_multi_style_transfer-tensorflow

Multi style transfer. You can make Gogh + Manet + Picasso style image

fastneuralstyle

Fast Neural Style for Image Style Transform by Pytorch

fastphotostyle

Style transfer, deep learning, feature transform

fcn.berkeleyvision.org

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

fpn_tensorflow

A Tensorflow implementation of FPN detection framework.

gluon-cv

Gluon CV Toolkit

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

kaggle_tgs2018_4th_solution

Kaggle TGS Salt Identification Challenge 2018 4th place code

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-dualpathnetworks

Dual Path Networks for Keras 2.0+

keras-retinanet

Keras implementation of RetinaNet object detection.

keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).