yahcong

yahcong's Stars

• POSTECH-CVLab/PyTorch-StudioGAN

  StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

  Language:Python3.4k345

• auspicious3000/SpeechSplit

  Unsupervised Speech Decomposition Via Triple Information Bottleneck

  Language:Python64892

• pytorch/serve

  Serve, optimize and scale PyTorch models in production

  Language:Java4.2k863

• wenet-e2e/wenet

  Production First and Production Ready End-to-End Speech Recognition Toolkit

  Language:Python4.2k1.1k

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.6k6.4k

• neuraloperator/neuraloperator

  Learning in infinite dimension with neural operators.

  Language:Python2.1k560

• rishikksh20/FNet-pytorch

  Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

  Language:Python25137

• seungwonpark/melgan

  MelGAN vocoder (compatible with NVIDIA/tacotron2)

  Language:Python639116

• keitakurita/Better_LSTM_PyTorch

  An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.

  Language:Python13320

• NVIDIA/nv-wavenet

  Reference implementation of real-time autoregressive wavenet inference

  Language:Cuda735126

• Maghoumi/pytorch-softdtw-cuda

  Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch

  Language:Python63759

• knamdar/data

  115

• r9y9/deepvoice3_pytorch

  PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

  Language:Python2k485

• DmitryUlyanov/Multicore-TSNE

  Parallel t-SNE implementation with Python and Torch wrappers.

  Language:C++1.9k229

• CannyLab/tsne-cuda

  GPU Accelerated t-SNE for CUDA with Python bindings

  Language:Cuda1.8k130

• Deepest-Project/meta-learning-study

  Deepest Season 6 Meta-Learning study papers plus alpha

  232

• egg-west/AdamW-pytorch

  Implementation and experiments for AdamW on Pytorch

  Language:Python9320

• jettify/pytorch-optimizer

  torch-optimizer -- collection of optimizers for Pytorch

  Language:Python3k299

• floodsung/Meta-Learning-Papers

  Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

  2.6k475

• kan-bayashi/ParallelWaveGAN

  Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch

  Language:Jupyter Notebook1.6k343

• bckenstler/CLR

  Language:Jupyter Notebook1.2k247

• NVlabs/NVAE

  The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

  Language:Python1k163

• facebookresearch/higher

  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

  Language:Python1.6k123

• tristandeleu/pytorch-meta

  A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

  Language:Python2k256

• dragen1860/MAML-Pytorch

  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

  Language:Python2.3k422

• ondrejklejch/learning_to_adapt

  Coordinate-wise meta-learner for speaker adaptation of ASR models.

  Language:Python207

• audioku/meta-transfer-learning

  Implementation of meta-transfer-learning for ASR and LM (ACL 2020)

  Language:Python4911

• audioku/cross-accent-maml-asr

  Meta-learning model agnostic (MAML) implementation for cross-accented ASR

  Language:Python446

• CyberZHG/torch-layer-normalization

  Layer normalization in PyTorch

  Language:Python196

• jerry1993-tech/xbert

  基于tensorflow2.x实现bert及其变体的预训练模型加载架构

  Language:Python14