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A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

Tensorflow Implementation of R-Net

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

WeChat Mini-program plugin for TensorFlow.js

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

ai challenger 2018细粒度情感分类第一名解决方案, A training framework itegrating tensorflow and pytorch

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN