“Taming LSTMs: Variable-sized mini-batches and why PyTorch is good for your health” by @_willfalcon https://t.co/wjaPGWNM37 #pytorch #deeplearning #machinelearning #ml #ai
— PyTorch Best Practices (@PyTorchPractice) June 9, 2018
“Taming LSTMs: Variable-sized mini-batches and why PyTorch is good for your health” by @_willfalcon https://t.co/wjaPGWNM37 #pytorch #deeplearning #machinelearning #ml #ai
— PyTorch Best Practices (@PyTorchPractice) June 9, 2018
🎉🎉🎉 I'm excited to announce the release of our spiking neural networks (SNNs) simulation library, BindsNET! The code is all written in Python using @PyTorch CPU and GPU n-dimensional Tensors.
— Dan Saunders (@djsaunde) June 6, 2018
code: https://t.co/QpAu5jUsC0
pre-print: https://t.co/RTBK8lIwm7
Deep Probabilistic Methods with PyTorch - Chris Ormandy https://t.co/lORbgRCD74 #pytorch #deeplearning #machinelearning #ml #ai
— PyTorch Best Practices (@PyTorchPractice) June 2, 2018
We've open sourced a @PyTorch implementation of our paper on disentangling discrete and continuous factors at https://t.co/gR3UzJtsJ2 pic.twitter.com/xWqtSDgApR
— Emilien Dupont (@emidup) May 31, 2018
Super cool @PyTorch reimplementation (+ new stuff) of our @DeepMindAI differentiable stacks/queues/etc (NIPS'15) by @Yale undergrad(!) Will Merrill. Check it out!https://t.co/1jlHp6rnL3
— Edward Grefenstette (@egrefen) May 29, 2018
Translate is an #opensource project for developing machine translation models that can be trained in @PyTorch and exported to #Caffe2 for production using ONNX. https://t.co/gqsPCUCru5
— Deep Learning London (@deeplearningldn) May 24, 2018