TensorFlow implementations of a Restricted Boltzmann Machine and an unsupervised Deep Belief Network, including unsupervised fine-tuning of the Deep Belief Network.
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Updated
Apr 1, 2017 - Python
TensorFlow implementations of a Restricted Boltzmann Machine and an unsupervised Deep Belief Network, including unsupervised fine-tuning of the Deep Belief Network.
Implementation of Triangle Counting Problem in Apache Spark
Convolutional Neural Network for Text Classification in gluon/mxnet
lightgbmのfeature-transform(特徴量の非線形化)をすることで、80,000を超える特徴量を線形回帰でも表現できることを示します
Python implementation of "Sparse Local Embeddings for Extreme Multi-label Classification, NIPS, 2015"
Development and realization of intelligent campus application based on React Native
CLP(Set) in miniKanren
PyTorch implementation of DEEP SUPERVISED HASHING FOR FAST IMAGE RETRIEVAL(CVPR 2016)
Code for "Reconstructing a cascade from temporal observations, SDM 2018"
An Actor Critic Algorithm for Optimal Mortgage Refinancing
Object detection in video frames http://www.robots.ox.ac.uk/~vgg/publications/papers/sivic03.pdf
SparseTP: Efficient Topic Modeling on Phrases via Sparsity
Implementation for "Hierarchical Attention Networks for Document Classification"
Recurrent Convolutional Neural Networks in PyTorch
A keras implementation of [Neural Arithmetic Logic Units](https://arxiv.org/pdf/1808.00508.pdf) by Andrew et. al.
A simple code of CycleGAN which is easy to read is implemented by TensorFlow
Tensorflow implementation of Importance Weighted Auto Encoder
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