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Showing results for Schmidhubers
StackOverflow https://stackoverflow.com/questions/47579681/tanh-activation-function-in-output-gate-in-lstm-networks

tanh activation function in output gate in LSTM networks

Tags: machine-learning, lstm, recurrent-neural-network
StackOverflow https://stackoverflow.com/questions/58702891/lstm-j%c3%bcrgen-schmidhuber-felix-ger-approach

LSTM - Jürgen Schmidhuber & Felix Ger approach

Tags: math, artificial-intelligence, lstm, recurrent-neural-network
GitHub Repo https://github.com/ctallec/world-models

ctallec/world-models

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
GitHub Repo https://github.com/haron1100/Upside-Down-Reinforcement-Learning

haron1100/Upside-Down-Reinforcement-Learning

Implementation of Schmidhuber's Upside Down Reinforcement Learning paper in PyTorch
GitHub Repo https://github.com/maetshju/flux-blstm-implementation

maetshju/flux-blstm-implementation

An implementation of the Graves & Schmidhuber (2005) bidirectional LSTM in Flux.
StackOverflow https://stackoverflow.com/questions/46851155/how-to-implement-lstm-layer-with-multiple-cells-per-memory-block-in-pytorch

How to implement LSTM layer with multiple cells per memory block in Pytorch?

Tags: lstm, pytorch
GitHub Repo https://github.com/BY571/Upside-Down-Reinforcement-Learning

BY571/Upside-Down-Reinforcement-Learning

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
StackOverflow https://stackoverflow.com/questions/44198560/which-version-of-lstms-are-implemented-in-keras

Which version of LSTMs are implemented in Keras?

Tags: python, neural-network, keras, theano, lstm
GitHub Repo https://github.com/lucidrains/PoPE-pytorch

lucidrains/PoPE-pytorch

Efficient implementation (and explorations) into polar coordinate positional embedding (PoPE) - from Gopalakrishnan et al. under Schmidhuber
GitHub Repo https://github.com/sschmidhuber/martinaschmidhuber

sschmidhuber/martinaschmidhuber

Martina Schmidhuber
GitHub Repo https://github.com/ADGEfficiency/world-models

ADGEfficiency/world-models

A Tensorflow 2.0 reimplementation of World Models - David Ha, Jürgen Schmidhuber (2018)
GitHub Repo https://github.com/LuCeHe/Creative-Agent

LuCeHe/Creative-Agent

I reproduce the codes in the paper "2003 Schmidhuber - Exploring the Predictable" and in "1995 Schmidhuber - RDIA"
StackOverflow https://stackoverflow.com/questions/41189464/google-tensorflow-lstmcell-variables-mapping-to-hochreiter97-lstm-pdf-paper

Google Tensorflow LSTMCell Variables Mapping to Hochreiter97_lstm.pdf paper

Tags: python, tensorflow, lstm, pybrain
GitHub Repo https://github.com/lucidrains/scaling-vin-pytorch

lucidrains/scaling-vin-pytorch

Exploration into the Scaling Value Iteration Networks paper, from Schmidhuber's group
StackOverflow https://stackoverflow.com/questions/55868135/computational-graph-vs-computer-algebra-symbolic-expression

Computational graph vs (computer algebra) symbolic expression

Tags: tensorflow, pytorch, theano, backpropagation, automatic-differentiation
GitHub Repo https://github.com/bprabhakar/upside-down-reinforcement-learning

bprabhakar/upside-down-reinforcement-learning

Pytorch based implementation of Upside Down Reinforcement Learning (UDRL) by J. Schmidhuber et al.