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awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-text-summarization

Text summarization starting from scratch.

caffe

Caffe: a fast open framework for deep learning.

en-fr-mlt-tensorflow

English-French Machine Language Translation in Tensorflow

garbage_dataset

Skoltech. Innovation Workshop 2017. Dataset for garbage sorting.

image-datset

kitti-ssd

Train your own data using SSD in a more clear and simple way(not include source code)

kitti_ssd

SSD detection for KITTI

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

mobilenet-ssd-realsense

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

models

Models and examples built with TensorFlow

object_detection

positionsensorpythonlibrary

Python Library for a Raspberry Pi to Interface to an Inductive Position Sensor

prepare-own-data-set-in-pascal-voc-form

recycle

Created recycling data set to test transfer learning for classification and object detection of recycling (glass bottles, metal cans and plastic bottles)

scikit-image

Image processing in Python

ssd-on-custom-dataset

Train SSD on custom dataset.

tensorflow-object-detection-on-the-raspberry-pi

A tutorial showing how to set up TensorFlow's Object Detection API on the Raspberry Pi

tensorflow_input_image_by_tfrecord

Feed your own image data to a pre-trained network by tensorflow

text-summarization-tensorflow

Tensorflow seq2seq Implementation of Text Summarization.

text_labels

trashnet

Dataset of images of trash; Torch-based CNN for garbage image classification