-
gutefrage.net
- Munich, Germany
- https://tastyminerals.github.io/tasty-blog/
Stars
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Get your data in RAM. Get compute close to data. Enjoy the performance.
plenary: full; complete; entire; absolute; unqualified. All the lua functions I don't want to write twice.
Lightweight Lua-based IDE for Lua with code completion, syntax highlighting, live coding, remote debugger, and code analyzer; supports Lua 5.1, 5.2, 5.3, 5.4, LuaJIT and other Lua interpreters on W…
Efficient, reusable RNNs and LSTMs for torch
Open Source Neural Machine Translation in Torch (deprecated)
A set of pure Lua libraries focusing on input data handling (such as reading configuration files), functional programming (such as map, reduce, placeholder expressions,etc), and OS path management.…
A tool for linting and static analysis of Lua code.
Recurrent Neural Network library for Torch7's nn
Light your way in Deep Learning with Torch 🔦
Recurrent Neural Network that predicts word-by-word
Text classification using a convolutional neural network.
A deep learning library for streamlining research and development using the Torch7 distribution.
Packages for ZeroBrane Studio (https://studio.zerobrane.com)
Torch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)
The Abstract Toolkit – a widget toolkit for GUI and text-mode applications.
Torch implementation of seq2seq machine translation with GRU RNN and attention
Utility class to manipulate dataset from CSV file