vaibhavs10 Goto Github PK

followers: 1.0K following: 88.0 repos: 95.0 gists: 14.0

Name: Vaibhav Srivastav

Type: User

Company: @huggingface

Bio: GPU poor @ Hugging Face

Twitter: reach_vb

Location: nvidia-smi

Blog: https://vaibhav.wiki

╔══════════════════════ Hey Hey! 👋 ═══════════════════════╗ 🤙 Vaibhav (VB) Srivastav                  
║ I’m a Developer Advocate at Hugging Face focusing on     ║ ┣━━ 💻 Computational Linguist | ML Engineer
║ open source, audio & on-device ML.                       ║ ┃   ┣━━ ⭐ ML with Audio                   
║ Been a freelancer, tax analyst and a consultant for the  ║ ┃   ┣━━ ⭐ How to ASR                      
║ past 5 years.                                            ║ ┃   ┗━━ ⭐ Performance Prediction          
║                                                          ║ ┣━━ 🗣 Interests                            
║ I’ve invested significant time in past 3 years           ║ ┃   ┣━━ Speech Enhancement & Generation    
║ volunteering for open source and science organisations   ║ ┃   ┣━━ Text Understanding                 
║ like Hugging Face, EuroPython, PyCons across APAC.       ║ ┃   ┗━━ Python and adjacent communities    
║                                                          ║ ┗━━ 🏃 Runner                              
║ Delhi native, I now live in Paris, France!               ║                                            
║                                                          ║                                            
║ Follow me on Twitter! @reach_vb                          ║                                            
║                                                          ║                                            
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Vaibhav Srivastav's Projects

10_days_of_deep_learning

10 days 10 different practical applications of Deep Learning (primarily NLP) using Tensorflow and Keras

adviser

ADvISER is a flexible framework to encourage task-oriented dialog system research & development

audio-diffusion-pytorch

Audio generation using diffusion models, in PyTorch.

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.