Caffe Excitationbp Rnns
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Char Rnn | 11,227 | 6 months ago | 112 | Lua | ||||||
| Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch | ||||||||||
| Async_deep_reinforce | 560 | 6 years ago | 34 | apache-2.0 | Python | |||||
| Asynchronous Methods for Deep Reinforcement Learning | ||||||||||
| Learning_to_execute | 457 | 8 years ago | 2 | apache-2.0 | Lua | |||||
| Learning to Execute | ||||||||||
| Dl4j Tutorials | 429 | 3 years ago | mit | Java | ||||||
| dl4j 基础教程 配套视频：https://space.bilibili.com/327018681/#/ | ||||||||||
| Attention_keras | 429 | a year ago | 11 | mit | Python | |||||
| Keras Layer implementation of Attention for Sequential models | ||||||||||
| Atvgnet | 239 | a year ago | 25 | Python | ||||||
| CVPR 2019 | ||||||||||
| Char Rnn Chinese | 190 | 8 years ago | 2 | Lua | ||||||
| Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things. | ||||||||||
| Seq2seqsharp | 188 |  | 3 | 3 months ago | 1 | May 09, 2022 | 6 | other | C# | |
| Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on. | ||||||||||
| F Lm | 156 | 5 years ago | 1 | mit | Python | |||||
| Language Modeling | ||||||||||
| Context | 116 | 5 years ago | 1 | gpl-3.0 | C++ | |||||
| ConText v4: Neural networks for text categorization | ||||||||||
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