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23 search results found

Deep Reinforcement Learning Book ⭐ 200

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

Abstractive Summarization ⭐ 113

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Hiddenmarkovmodel_tensorflow ⭐ 96

TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)

Droneblocks Tello Python ⭐ 78

A DroneBlocks course on drone programming with Tello using Python scripts

Pytorchmodulestorage ⭐ 30

A easy to use API to store outputs from forward/backward hooks in Pytorch

Adorym: Automatic Differentiation-based Object Reconstruction with DynaMical Scattering

Messagepassing_for_gnns ⭐ 18

Experiments with Message Passing GNNs in C++ and PyTorch.

Python Keras Neural Network Inverse Kinematics ⭐ 18

Training networks to compute forward and inverse kinematics - more generally, nonlinear function estimation with potential singularities

Learningwithpython ⭐ 17

Aligners ⭐ 17

HMM, CTC, RNN-Transducer, forward-backward algorithm

Ldaworkshop ⭐ 16

LDA workshop presented by Fast Forward Labs

Signal Classification Comparison ⭐ 12

Classify signal using Deep Learning on Tensorflow and various machine learning models.

Pytorch_lstm Shuttle ⭐ 9

A PyTorch implementation of LSTM-Shuttle

Cuda Dnn Mnist ⭐ 9

Example C++ CUDA implementation for training Neural Network on MNIST dataset

A forward modeling script for 1D electromagnetic (radar) sounders

Tiny command line tool to manage port forward settings for data scientists

Forward Models ⭐ 6

A tutorial on forward models for model-based reinforcement learning.

Cloth_classification_deeplearning ⭐ 6

Cloth Classification (Feed forward neural net vs sequence model)

Maxout Pytorch ⭐ 6

Here is the implementation of Maxout Layer from paper: https://arxiv.org/pdf/1302.4389.pdf in PyTorch. In forward pass, maxout for the feature maps of CNN is calculated. For backward pass, derivative of error w.r.t input is only propagated through the cells of feature maps array which were activated in forward pass(which is derivative of Maxout). To be sure this works fine, results were compared with Maxout in Theano(which is with the name featurepool layer) and were confirmed to be working fine

Magnetotellurics forward and inverse codes in SimPEG

Dlnn Week 02 ⭐ 5

In this week we discussed about Feed Forward Type Neural Networks, Supervised Deep Learning and Forward Propagation and implemented simple 4 layer Deep FFNN for Iris Flower example.

Maelstrom ⭐ 5

Forward modelling of pulsating stars in binaries

Ipyturtle2 ⭐ 5

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