Models and examples built with TensorFlow

Welcome to the Model Garden for TensorFlow The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstr

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szha KDD18 London: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon Time: Tuesday, August 21, 2018Location: ICC Capital Suite Room 14+15+16 Presenter: Alex Smola, Leonard Lausen, Haibin Lin
 

taki0112 Simple Tensorflow implementation of Diverse Image-to-Image Translation via Disentangled Representations (ECCV 2018 Oral)
 

huguyuehuhu A PyTorch Reproduction of HCN Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation. Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu, IJCAI 2018. Arxiv Preprint
 

ikostrikov pytorch-flows A PyTorch implementations of Masked Autoregressive Flow and some other invertible transformations from Glow: Generative Flow with Invertible 1x1 Convolutions and Density estimation using Real NVP. For MAF, I'm gett
 

asyml Texar is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides a library of easy-to-use ML modules and functionalities for composing
 
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onnx Open Neural Network eXchange (ONNX) Model Zoo The ONNX Model Zoo is a collection of pre-trained models for state-of-the-art models in deep learning, available in the ONNX format. Accompanying each model are Jupyter n
 

aqeel13932 APES is a grid world environment with ability for partial observability. It could be used for multi-agent experiments. Its uniqueness is coming from the wide options for vision for every agent.