CSLJingyu

CSLJingyu's Stars

• median-research-group/LibMTL

  A PyTorch Library for Multi-Task Learning

  Language:Python2.1k201

• xuchennlp/S2T

  The project for speech translation

  Language:Python112

• burchim/EfficientConformer

  [ASRU 2021] Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition

  Language:Python21431

• tonyduan/transformer-blocks

  Multi-Head Attention, Transformer, Perceiver, Linear Attention.

  Language:Python102

• theodorblackbird/lina-speech

  Official implementation of the TTS model Lina-Speech

  Language:Jupyter Notebook14512

• lironui/Linear-Attention-Mechanism

  Attention mechanism

  Language:Python5412

• kuixu/Linear-Multihead-Attention

  Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)

  Language:Python7214

• ShigekiKarita/espnet-semi-supervised

  ESPnet extensions for semi-supervised end-to-end speech recognition. See also https://github.com/ShigekiKarita/espnet-semi-supervised/tree/karita-asrtts for newer code in ICASSP2019 Semi-supervised End-to-end Speech Recognition Using Text-to-speech and Autoencoders

  Language:Python3812

• k2-fsa/k2

  FSA/FST algorithms, differentiable, with PyTorch compatibility.

  Language:Cuda1.1k217

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.7k1.9k

• DCGM/SoftCTC

  This repository contains source codes for SoftCTC. Original paper can be found here: https://arxiv.org/abs/2212.02135

  Language:Python191

• NVIDIA/NeMo

  A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

  Language:Python12.7k2.6k

• nvidia-riva/riva-asrlib-decoder

  Standalone implementation of the CUDA-accelerated WFST Decoder available in Riva

  Language:Python8323

• scufan1990/Key-Frame-Mechanism-For-Efficient-Conformer

  code

  Language:Python31

• phecda-xu/wav2vec-project

  Study of fairseq's wav2vec

  Language:Python71

• lucidrains/FLASH-pytorch

  Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"

  Language:Python35424

• radarFudan/Awesome-state-space-models

  Collection of papers on state-space models

  56720

• state-spaces/s4

  Structured state space sequence models

  Language:Jupyter Notebook2.5k302

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.7k1.2k

• CSLJingyu/pytorch_MLP_for_ASR

  This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.

  1

• idiap/hypermixing

  PyTorch implementation for HyperMixing, a linear-time token-mixing technique used in HyperMixer architecture

  Language:Python212

• tuanio/nextformer

  PyTorch implementation of "Nextformer: A ConvNeXt Augmented Conformer For End-To-End Speech Recognition"

  Language:Python122

• C-Fun/Self-Attentive-Pooling-for-Efficient-Deep-Learning

  Official PyTorch implementation of the paper entitled 'Self Attentive Pooling for Efficient Deep Learning'.

  Language:Python10

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.5k8.2k

• ASR-studio/LAS-ASR

  LAS自定义数据集训练语音识别模型

  Language:Python2

• wttu/dlbeginners

  神经网络与深度学习

  Language:Jupyter Notebook225

• seungjunlee96/Depthwise-Separable-Convolution_Pytorch

  Implementation of Depthwise Separable Convolution (pytorch)

  Language:Python717

• langgptai/wonderful-prompts

  🔥中文 prompt 精选🔥，ChatGPT 使用指南，提升 ChatGPT 可玩性和可用性！🚀

  3.6k311

• jwr1995/DTCN

  Language:Python142

• jwr1995/dc1d

  A 1D implementation of a deformable convolutional layer in PyTorch with a few tricks.

  Language:Python404