Allen's repositories

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HEM-RNN

Hierarchical External Memory argumented Recurrent Neural Networks (HEM-RNN).

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awesome-rl

Reinforcement learning resources curated

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mxnet-101

The code to learn mxnet

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tensorflow-phased-lstm

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016)

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pytextrank

A pure Python impl of TextRank for document summarization

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kubernetes-basic

Kubernetes 初级课程

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resnet-in-tensorflow

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

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keras-recommendation

Using Keras to implement recommender systems

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neuralsongstyle

Audio style transfer AI

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sunfish

Sunfish: a Python Chess Engine in 111 lines of code

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DQN-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

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tensorflow-deeplab-lfov

DeepLab-LargeFOV implemented in tensorflow

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kapre

kapre: Keras Audio PREprocessors

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pixel-cnn

adaptation of PixelCNN

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tensorflow-exercises

TensorFlow Exercises - focusing on the comparison with NumPy.

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traffic-signs-tensorflow

Traffic Signs Detection and Recognition with Tensorflow

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tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

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PPJUtils

some usefult utils like change tools and city lon and lat

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TensorFlow-Book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

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Multilabel-timeseries-classification-with-LSTM

Multi label time series classification with LSTM

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DeepLearningImplementations

Implementation of some deep learning models

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ml4a-guides

practical guides, tutorials, and code samples for ml4a

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Bios8366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

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neural-style-audio-tf

TensorFlow implementation for audio neural style.

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vaderSentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

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