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Minor readme changes

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Shivam Mehta
2023-09-17 06:23:05 +00:00
parent ed1c9d87b5
commit 0554a5b87c
2 changed files with 6 additions and 3 deletions
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Makefile
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@@ -36,3 +36,6 @@ train-ljspeech: ## Train the model
train-ljspeech-min: ## Train the model with minimum memory
python matcha/train.py experiment=ljspeech_min_memory
start_app: ## Start the app
python matcha/app.py

6
README.md
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@@ -4,7 +4,7 @@
### [Shivam Mehta](https://www.kth.se/profile/smehta), [Ruibo Tu](https://www.kth.se/profile/ruibo), [Jonas Beskow](https://www.kth.se/profile/beskow), [Éva Székely](https://www.kth.se/profile/szekely), and [Gustav Eje Henter](https://people.kth.se/~ghe/)
[![python](https://img.shields.io/badge/-Python_3.10-blue?logo=python&logoColor=white)](https://github.com/pre-commit/pre-commit)
[![python](https://img.shields.io/badge/-Python_3.10-blue?logo=python&logoColor=white)](https://www.python.org/downloads/release/python-3100/)
[![pytorch](https://img.shields.io/badge/PyTorch_2.0+-ee4c2c?logo=pytorch&logoColor=white)](https://pytorch.org/get-started/locally/)
[![lightning](https://img.shields.io/badge/-Lightning_2.0+-792ee5?logo=pytorchlightning&logoColor=white)](https://pytorchlightning.ai/)
[![hydra](https://img.shields.io/badge/Config-Hydra_1.3-89b8cd)](https://hydra.cc/)
@@ -188,8 +188,8 @@ Since this code uses: [Lightning-Hydra-Template](https://github.com/ashleve/ligh
Other source codes I would like to acknowledge:
- [Coqui-TTS](https://github.com/coqui-ai/TTS/tree/dev) : For helping me figure out how to make cython binaries pip installable
- [Coqui-TTS](https://github.com/coqui-ai/TTS/tree/dev) :For helping me figure out how to make cython binaries pip installable and encouragement
- [Hugging Face Diffusers](https://huggingface.co/): For their awesome diffusers library and its components
- [Grad-TTS](https://github.com/huawei-noah/Speech-Backbones/tree/main/Grad-TTS): For source code of MAS
- [torchdyn](https://github.com/DiffEqML/torchdyn): Useful for trying other ODE solvers during development
- [torchdyn](https://github.com/DiffEqML/torchdyn): Useful for trying other ODE solvers during research and development
- [labml.ai](https://nn.labml.ai/transformers/rope/index.html): For RoPE implementation