enk100

enk100's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python84.5k1.7k46.9k22.8k

• openai/guided-diffusion

  Language:Python6.3k141141827

• hojonathanho/diffusion

  Denoising Diffusion Probabilistic Models

  Language:Python3.9k2022375

• facebookresearch/svoice

  We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.

  Language:Python1.3k2495181

• facebookarchive/loop

  A method to generate speech across multiple speakers

  Language:Python8726975158

• kaituoxu/Conv-TasNet

  A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

  Language:Python6831246153

• ivanvovk/WaveGrad

  Implementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.

  Language:Jupyter Notebook402162656

• yluo42/TAC

  transform-average-concatenate (TAC) method for end-to-end microphone permutation and number invariant ad-hoc beamforming.

  Language:Python25961554

• funcwj/conv-tasnet

  A PyTorch implementation of "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" (see recipes in aps framework https://github.com/funcwj/aps)

  Language:Python2093862

• WelkinYang/GradTTS

  Pytorch implementation of "Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech"

  Language:Python1835319

• mosheman5/timbre_painting

  Hierarchical fast and high-fidelity audio generation

  Language:Python77248

• lorenlugosch/neural-min-sum-decoding

  Neural min-sum decoding in TensorFlow

  Language:Python443522

• fgnt/graph_pit

  Language:Python33638

• SebastianCa/LDPC-like-Decoding-of-Polar-Codes

  see paper "Sparse Graphs for Belief Propagation Decoding of Polar Codes"

  Language:MATLAB304018

• facebookresearch/HyperNetworkDecoder

  Hyper Graph Network Decoders for Block Codes

  Language:Python21546

• JieFangD/NN-Polar-Decoder

  Low-complexity Recurrent Neural Network-based Polar Decoder with Weight Quantization Mechanism

  Language:Jupyter Notebook172213

• enk100/speaker_separation

  speaker_separation

  Language:HTML14503

• cyclicallyneuraldecoder/CyclicallyEquivariantNeuralDecoders

  Language:Python12305

• Kamassury/IED

  Iterative Error Decimation for Syndrome-Based Neural Network Decoders

  Language:Python4101