Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
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Faster-RCNN in Tensorflow
this is a file scanner that classifies locally your files and cluster them according to type, size and content (using an offline base AI file classifier).
Using the Github API v3 , to create a web application to browse github repositories and find the ones corresponding to your serach_term.It then displaus the 5 last created ones.
Using a dataset got from kaggle to try and create a linear model to predict the sale prices of the houses using 79 carefully selected house feature
A Kitti Road Segmentation model implemented in tensorflow.
NECRO
The system can recommend movies to users based on their rating of previous movies .It uses the method of collaborative filtering for it's learning.
RFCN implementation in TensorFlow
projet cpp opengel3
TensorFlow Tutorial and Examples for beginners
Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow
Transfer Learning with inception tensorflow
X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2
Chest Xray image analysis using Deep learning !
awesome-semantic-segmentation
Everything needed to run the KORA benchmark for AI Child Safety.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices + added support for tracking using deep sort (this is a sub-module for the tracker)