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