468 Open source projects that are alternatives of or similar to keras-utility-layer-collection

A Tensorfflow implementation of Attend, Infer, Repeat

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My Attempt(s) In The World Of ML/DL....

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

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中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

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Build and publish AWS Lambda layers defined in YAML

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A collection of AWS lambda layers for python.

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Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).

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Efficient, transparent deep learning in hundreds of lines of code.

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[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

Layers for usage in SpaceNeovim 👉

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game-map-editor

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A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.

Training charRNN model for ml5js

Deep learning driven jazz generation using Keras & Theano!

RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano

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A pytorch implementation of https://arxiv.org/abs/1904.09925

Generalised and highly customisable, hybrid-parallelism, database based, deep learning framework.

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Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

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机器学习、深度学习、NLP实战项目

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