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### [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/)
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[](https://github.com/pre-commit/pre-commit)
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[](https://www.python.org/downloads/release/python-3100/)
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[](https://pytorch.org/get-started/locally/)
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[](https://pytorchlightning.ai/)
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[](https://hydra.cc/)
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@@ -188,8 +188,8 @@ Since this code uses: [Lightning-Hydra-Template](https://github.com/ashleve/ligh
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Other source codes I would like to acknowledge:
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- [Coqui-TTS](https://github.com/coqui-ai/TTS/tree/dev) : For helping me figure out how to make cython binaries pip installable
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- [Coqui-TTS](https://github.com/coqui-ai/TTS/tree/dev) :For helping me figure out how to make cython binaries pip installable and encouragement
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- [Hugging Face Diffusers](https://huggingface.co/): For their awesome diffusers library and its components
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- [Grad-TTS](https://github.com/huawei-noah/Speech-Backbones/tree/main/Grad-TTS): For source code of MAS
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- [torchdyn](https://github.com/DiffEqML/torchdyn): Useful for trying other ODE solvers during development
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- [torchdyn](https://github.com/DiffEqML/torchdyn): Useful for trying other ODE solvers during research and development
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- [labml.ai](https://nn.labml.ai/transformers/rope/index.html): For RoPE implementation
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