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
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
Deep Learning Concepts and Research Paper Implementations.
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