Milan Straka

Results 11 issues of Milan Straka

**System information**. - Have I written custom code (as opposed to using a stock example script provided in Keras): **No** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): **Linux...

Hi, are there any plans to add cuDNN-accelerated versions of LSTM and GRU to the PyTorch backend? Without cuDNN acceleration, the LSTM and GRU are considerably (several times) slower, even...

stat:contributions welcome
type:feature
stale

Hi all, consider a model obtaining on input sequences of dynamic sizes (sentences padded to the longest one). Here is a simple example: ```python inputs = keras.Input([None, 2]) hidden =...

stat:awaiting keras-eng
type:Bug

Hi all, even with PyTorch backend, `keras.callbacks.TensorBoard` uses `tensorflow.summary` to generate the Tensorboard logs, which can be inconvenient when only PyTorch is installed. However, PyTorch has a module `torch.data.tensorboard` capable...

type:feature
backend:torch

Create browser plugins for Korektor service. Current plan is to have nearly same plugins for Firefox and Chrome. The plugin add context menu items which appear when clicking on `input`,...

Currently, we are using UCS-2 as internal encoding, which disallows us to use Unicode characters outside of BMP. We should change the internal representation, the current plans is to use...

If we sort out #10, that will leave us with the following complexity of language model lookups - 38.3/(100-47.6) = 73.1% ot time spend in language model lookup in `diacritics_h2mor.conf`...

Currently the similar word searching takes quite a lot of time. Considering `korektor-czech-130202` with `viterbi_beam_size=15` and `viterbi_stage_pruning=2.5`, similar words searching takes: - 47.6% with `diacritics_h2mor.conf` (for comparison, LM lookup takes...

**System information**. - Have I written custom code (as opposed to using a stock example script provided in Keras): **No** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): **Linux...

**System information**. - Have I written custom code (as opposed to using a stock example script provided in Keras): **yes** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): **Linux...

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