MobileNet build with Tensorflow
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Updated
Nov 6, 2017 - Python
MobileNet build with Tensorflow
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Reimplementation of DeepLabV3
Convenient wrapper for TensorFlow feature extraction from pre-trained models using tf.contrib.slim
CBAM implementation on TensorFlow Slim
Repository for "Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation".
Using slim to perform batch normalization
SENet implementation on TensorFlow Slim
Reimplementation of DenseNet
An realtime recommendation system supporting online updates
Implementation of Domain Adaption in One-Shot Learning
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
Use Ruby Slim as a template engine in any python framework
Set of recommender systems
A streamlined Oxford Nanopore Viral Metagenomics Pipeline
The objective of the competition was to create the best recommender system for a book recommendation service by providing 10 recommended books to each user. The evaluation metric was MAP@10.
Simple rest client for plentymarkets rest api.
Image Classification using TensorFlow Mobile, Slim and Keras
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