Rlseq2seq
Deep Reinforcement Learning For Sequence to Sequence Models
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tensorflow Book | 4,443 | 4 years ago | 14 | mit | Jupyter Notebook | |||||
| Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations. | ||||||||||
| Rlseq2seq | 610 | 4 years ago | 12 | mit | Python | |||||
| Deep Reinforcement Learning For Sequence to Sequence Models | ||||||||||
| Text_summurization_abstractive_methods | 310 | 4 years ago | 12 | Jupyter Notebook | ||||||
| Multiple implementations for abstractive text summurization , using google colab | ||||||||||
| Seq2seq Summarizer | 259 | 5 years ago | 10 | mit | Python | |||||
| Pointer-generator reinforced seq2seq summarization in PyTorch | ||||||||||
| Neural Combinatorial Rl Pytorch | 257 | 6 years ago | 5 | mit | Python | |||||
| PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940 | ||||||||||
| Mlds2018spring | 106 | 5 years ago | 6 | Python | ||||||
| Machine Learning and having it Deep and Structured (MLDS) in 2018 spring | ||||||||||
| Binpacking_neural_combinatorial_optimization | 49 | 4 years ago | 1 | mit | Python | |||||
| Bin Packing Problem using Neural Combinatorial Optimization. | ||||||||||
| Redco | 35 | 4 months ago | 11 | November 08, 2023 | apache-2.0 | Python | ||||
| MLSys Workshop NeurIPS 2023 - Redco: A Lightweight Tool to Automate Distributed Training and Inference | ||||||||||
| Seq2seq Chatbot With Deep Reinforcement Learning | 15 | 6 years ago | 3 | Python | ||||||
| Alpha Dimt Icmlws | 10 | 6 years ago | Python | |||||||
| Reference implementation for "Neural Sequence Model Training via α-divergence Minimization" | ||||||||||
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Sequence To Sequence
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