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Design des Deep Networks
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The latest releases of TensorFlow 2 have been accompanied by excellent tutorials which made it straightforward to manipulate and adapt complex models such as RNNs, CNNs, and GANs to a variety of task…
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is rnn/lstm/gru supported and tested using this pytorch-cpp lib?
qwliu updated
6 years ago
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- MRU / MFU
- NB (individual)
- DNN (user, time vector together)
- RNN + Attention only (user, time vector together)
- Markov chain (individual)
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- [ ] I have marked all applicable categories:
+ [ ] exception-raising bug
+ [ ] RL algorithm bug
+ [ ] documentation request (i.e. "X is missing from the documentation.")
+ [ ] ne…
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Hi author, in my openion, the selective scan play a very important part in mamba's ability to deal with the long sequence.
But I cannot clearly understand how the "select" is implemented? By a rando…
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I am getting valuerror on my Juypter Lab and Vscode. This only work on Coblab.
ValueError: Unrecognized keyword arguments passed to Embedding: {'batch_input_shape': [32, None]}
def build_model(…
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First of all, thank you for open-sourcing this algorithm.
I am trying to train a quadruped robot locomotion policy with multimodal input, including egocentric depth vision, on complex terrain. Howev…
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RWKV is an RNN with Transformer-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). And it's 100% attention-free. You only need the hidden state at posit…