A Pytorch Implementation of Tacotron: End-to-end Text-to-speech Deep-Learning Model https://t.co/ZKt3zfsU6z #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #pytorch
— PyTorch Best Practices (@PyTorchPractice) May 17, 2019
A Pytorch Implementation of Tacotron: End-to-end Text-to-speech Deep-Learning Model https://t.co/ZKt3zfsU6z #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #pytorch
— PyTorch Best Practices (@PyTorchPractice) May 17, 2019
MixMatch (https://t.co/kfMnrJ4jBN) code is released https://t.co/M4Yx2mU2lp (Python3, TensorFlow 1.1x). Let me know how it works for you and also let me know if you port it to other frameworks.
— David Berthelot (@D_Berthelot_ML) May 15, 2019
Translatotron is our experimental model for direct end-to-end speech-to-speech translation, which demonstrates the potential for improved translation efficiency, fewer errors, and better handling of proper nouns. Learn all about it below! https://t.co/CvXL4lbPvP
— Google AI (@GoogleAI) May 15, 2019
Researchers and grad students have been quickly adopting TensorFlow 2.0 + Keras. Here's a fun collection of generative models: https://t.co/we6rsFi9mX
— François Chollet (@fchollet) May 14, 2019
I'm sorry Matt I don't have time to do a video tutorial - here are the steps:
— John Breslin (@johnbreslin) May 13, 2019
Make sure you are logged in with a Google account
Videos - go to https://t.co/LHgIEtozIK
Images - go to https://t.co/fraczphmSG
...
This covers fastai's most important APIs: data blocks and learner/callbacks. Really nice project! https://t.co/EMPoVspR9q
— Jeremy Howard (@jeremyphoward) May 10, 2019
Exciting release from Hugging Face, both technically and ethically! Look forward to continued dialogue with HF and others on responsible publication in AI, and very cool to hear their approach to chat bot personas/optimizations they avoided doing, etc. https://t.co/hKnOV0Bypg
— Miles Brundage (@Miles_Brundage) May 9, 2019
🐣 New Tutorial, open-source code & demo!
— Thomas Wolf (@Thom_Wolf) May 9, 2019
Building a SOTA Conversational AI with transfer learning & OpenAI GPT models
-Code/pretrained model from our NeurIPS 2018 ConvAI2 competition model, SOTA on automatic track
-Detailed Tutorial w. code
-Cool demo https://t.co/fcXeNmhPKy👇 pic.twitter.com/KBhTGixKZP
Universal Music Translation Network: translating music across musical instruments and styles using unsupervised traininghttps://t.co/gZGUKCgEe2 pic.twitter.com/gIXiaIIDNZ
— PyTorch (@PyTorch) May 7, 2019
Stochastic Weight Averaging: a simple procedure that improves generalization over SGD at no additional cost.
— PyTorch (@PyTorch) April 29, 2019
Can be used as a drop-in replacement for any other optimizer in PyTorch.
Read more: https://t.co/IRhz40AZKU
guest blogpost by @Pavel_Izmailov and @andrewgwils pic.twitter.com/yU0HKDYr7v
Simple Tensorflow implementation of "GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond" https://t.co/9az2SUq54X #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #tensorflow
— TensorFlow Best Practices (@TFBestPractices) April 29, 2019
Ever wondered how a GRU implements a binary decision? Reverse-engineer it using the new fixed point finding routines for RNNs in the GitHub computation-thru-dynamics repo!
— David Sussillo ☝️🤓 (@SussilloDavid) April 26, 2019
Fixed point finding library + Jupyter notebook example. All implemented in JAX. 😍https://t.co/UxglEX9Xck