Exciting news! 2 open positions for #PhD students to join our team and work on cutting-edge #research in #deeplearning, #conversationalAI, #speech tech, & sequence processing. Check out more details here and apply as soon as possible if interested:
https://t.co/CbwC7hM0DN
Let me share with you 2 reading posts for this summer :
1- Training your deep learning models faster with OVHcloud using SpBrain: https://t.co/zUnbU1sOw7
2- How you can accelerate your machine learning pipeline with Nvidia Rapids: https://t.co/tvBzveZ0ZH
#OVHcloud#speechbrain
Let me share with you the 2nd Part of my blog on how to use @nvidia Triton for large scale deployment on @OVHcloud AI training platform.
https://t.co/9EyXKYh5uE
Let me share with you a blog (Part1) on how you can SpeedUp your (GPU)Inference with @onnxai@onnxruntime and @nvidia TensorRT on @OVHcloud
Part2 will handle the use of Nvidia Triton for large scale deployment.
https://t.co/jbxgfXnRyj
Great discussion about AI, and how to empower Datascience team with OVHcloud AI ressources:
https://t.co/0DEY9Mrelv
Let me share with you a Medium blog where I explain in few steps how to get started with OVHcloud AI:
https://t.co/GlDKWdQaPu
#ai#datascience#team#ovhcloud
We are happy to announce that @BaiduResearch is collaborating on the #SpeechBrain project with @Mila_Quebec. Thanks to the sponsorship, we can significantly expand our #toolkit and advance #opensource#research projects in speech recognition, Conversational AI, and other areas.
#SpeechBrain 0.5.11 is out!
We worked hard to further expand our conversational #AI toolkit with new recipes, tutorials, and techniques.
Feel free to take a look ;)
Website: https://t.co/CkYEluc8Lk
Code: https://t.co/nmi3N1EkTf
#DeepLearning#ConversationalAI#opensource
#SpeechBrain meets #Flower for federated learning of #speech models. That's pretty interesting!
Check out our tutorial: https://t.co/CkYEluc8Lk
Thank you @YanGao07715405 and @ParcolletT
Researchers Had To Shut Down AI After It Taught Itself 19 Languages?!* 🤔😱🤖😤 Like👍 Subscribe🔔
* = we used pseudo-labeling to train a single massively multilingual speech recognizer for all 60 languages of Common Voice.
Paper: https://t.co/3VyrUCo2Io
🧵
#Wav2vec2 works well for emotion recognition too!
#SpeechBrain now has a competitive baseline for the IEMOCAP dataset.
Code: https://t.co/nmi3N1EkTf (see recipes/IEMOCAP)
Pretrained Model + Easy Inference: https://t.co/FsQpwJuqwq
Credits @yingzhi_wang and @AWHEBA1.
Want to make your inference code in PyTorch run faster? Here’s a quick thread on doing exactly that.
1. Replace https://t.co/OG6jlroK1O_grad() with the ✨torch.inference_mode()✨ context manager.
#SpeechBrain is growing very fast! We are happy to announce the new call for #sponsors.
We have very ambitious plans for the future and sponsors can play a crucial role in the development of our #Opensource#toolkit.
More info here:
https://t.co/7NL3S5xj4n