runngezhang

runngezhang's Stars

• BlinkDL/RWKV-LM

  RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

  Language:Python12.4k133204844

• josStorer/RWKV-Runner

  A RWKV management and startup tool, full automation, only 8MB. And provides an interface compatible with the OpenAI API. RWKV is a large language model that is fully open source and available for commercial use.

  Language:TypeScript5.1k43356484

• tencent-ailab/IP-Adapter

  The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

  Language:Jupyter Notebook5k61375325

• baichuan-inc/Baichuan2

  A series of large language models developed by Baichuan Intelligent Technology

  Language:Python4.1k40394293

• julius-speech/julius

  Open-Source Large Vocabulary Continuous Speech Recognition Engine

  Language:C1.8k105158299

• Jamie-Stirling/RetNet

  An implementation of "Retentive Network: A Successor to Transformer for Large Language Models"

  Language:Python1.2k1326100

• xiph/LPCNet

  Efficient neural speech synthesis

  Language:C1.1k72197295

• HuijieL/Ren

  任正非讲话

  1k740368

• LAION-AI/audio-dataset

  Audio Dataset for training CLAP and other models

  Language:Python615215753

• ddlBoJack/Speech-Resources

  语音方向实验室/公司/资源/实习等，欢迎推荐或自荐

  484201762

• Sato-Kunihiko/audio-SNR

  Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)

  Language:Python2139674

• ddlBoJack/Awesome-Speech-Pretraining

  Paper, Code and Statistics for Self-Supervised Learning and Pre-Training on Speech.

  19613013

• felixpatzelt/colorednoise

  Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)

  Language:Python1904719

• RookieJunChen/Inter-SubNet

  The official PyTorch implementation of "Inter-SubNet: Speech Enhancement with Subband Interaction", accepted by ICASSP 2023.

  Language:Python914812

• YangangCao/TRUNet

  unofficial PyTorch implementation of 《REAL-TIME DENOISING AND DEREVERBERATION WTIH TINY RECURRENT U-NET》

  Language:Python883620

• wangwei2009/spatial-temporal-LCMV

  multi-channel microphone array noise reduction

  Language:MATLAB572214

• nttcslab/dcase2023_task2_baseline_ae

  Language:Python534615

• ddlBoJack/MT4SSL

  [INTERSPEECH 2023 Best Paper Shortlist] Official implementation for MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets

  Language:Python42423

• DCASE2023-Task7-Foley-Sound-Synthesis/dcase2023_task7_baseline

  Language:Python32107

• msalhab96/SNR-Estimation-Using-Deep-Learning

  An implementation for Frame-level Speech Signal-to-Noise Ratio Estimation using deep learning

  Language:Jupyter Notebook29115

• Okrio/tinyrecurrentunet

  Real-Time De-noising and De-reverbing with Tiny Recurrent UNet

  Language:Python291012

• drammock/praat-semiauto

  Praat scripts for streamlining manual measurements in acoustic analysis

  254017

• ffxiong/stsubnet

  19232

• kinggongzilla/DCASE2023_Task2

  Language:Python18303

• wilkinghoff/DCASE2023_task2

  Submission for task 2 "First-Shot Unsupervised Anomalous Sound Detection for Machine Condition Monitoring" of the DCASE challenge 2023 (https://dcase.community/challenge2023/task-first-shot-unsupervised-anomalous-sound-detection-for-machine-condition-monitoring)

  Language:Python14103

• marmoi/dcase2023_task4b_baseline

  Baseline code for DCASE 2023 task 4 B

  Language:Python13173

• msalhab96/Listen-Attend-and-Spell

  PyTorch implementation of Listen, Attend and Spell (LAS) speech recognition paper

  Language:Python10202

• msalhab96/audesc

  Audesc is an open-source library for descriptive Audio analysis, and parsing

  Language:Python2101

• thinkerchan/renzhengfei

  speech analysis of renzhengfei

  Language:JavaScript2203

• Moplast/moplast.github.io

  Language:CSS1104