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Machinelearning

🗣 NNSVS: A Neural Network-Based Singing Voice Synthesis Toolkit

Neural network-based singing voice synthesis library for research

⭐️ Docs: https://nnsvs.github.io/

🔩Github: https://github.com/nnsvs/nnsvs

📄Paper: https://arxiv.org/abs/2210.15987v1

↪️ Samples by r9y9: https://soundcloud.com/r9y9/sets/dnn-based-singing-voice

👣 Demo: https://www.youtube.com/watch?time_continue=1&v=0sSd31TUVCU&feature=emb_logo&ab_channel=DYVAUX

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Machinelearning

⭐️DiffusionDB

DiffusionDB is the first large-scale text-to-image prompt dataset.

🖥 Github: https://github.com/poloclub/diffusiondb

🗒 Paper: https://arxiv.org/abs/2210.14896v1

➡️ Dataset: https://huggingface.co/datasets/poloclub/diffusiondb

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Machinelearning

➡️ Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study

conda create -n knowprompt python=3.8

conda activate knowprompt


🖥 Github: https://github.com/zjunlp/KnowPrompt

🗒 Paper: https://arxiv.org/abs/2210.10678v1

➡️ Dataset: https://github.com/zjunlp/KnowPrompt/blob/master/dataset/semeval

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Machinelearning

💨 Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering

pip3 install spectralcluster==0.1.0

🖥 Github: https://github.com/wq2012/SpectralCluster

🗒 Paper: https://arxiv.org/abs/2210.13690v1

🔩 Speaker Diarization with LSTM: https://google.github.io/speaker-id/publications/LstmDiarization/

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Machinelearning

➡️ MetaFormer Baselines for Vision

🖥 Github: https://github.com/sail-sg/metaformer

🗒 Paper: https://arxiv.org/abs/2210.13452v1

➡️ Dataset: https://paperswithcode.com/dataset/imagenet

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