GANSpace: Discovering Interpretable GAN Controls
— roadrunner01 (@ak92501) April 7, 2020
pdf: https://t.co/tH7vtx01WI
abs: https://t.co/ifbCng1T5T
video: https://t.co/xVbOsFNNu1
github: https://t.co/W4PJQZSxqv pic.twitter.com/OsRIpdEpjz
GANSpace: Discovering Interpretable GAN Controls
— roadrunner01 (@ak92501) April 7, 2020
pdf: https://t.co/tH7vtx01WI
abs: https://t.co/ifbCng1T5T
video: https://t.co/xVbOsFNNu1
github: https://t.co/W4PJQZSxqv pic.twitter.com/OsRIpdEpjz
More cool things built with nbdev 😊 https://t.co/xPMEP9JsN9
— Sylvain Gugger (@GuggerSylvain) March 30, 2020
This is the model from Report 13 of the Imperial College COVID-19 response team. It fits the death data jointly from 11 European countries to estimate the reproduction number and the effect of lockdowns. Such a remarkable piece of @mcmc_stan https://t.co/Hhmbt3KVcQ
— Gilles Louppe (@glouppe) March 30, 2020
NYC subway usage
— Todd Schneider (@todd_schneider) March 28, 2020
Code: https://t.co/C2WML3RNW5 pic.twitter.com/HNMAPuGeSy
Improved Techniques for Training Single-Image GANs
— roadrunner01 (@ak92501) March 25, 2020
github: https://t.co/NtTbBAPN7G
blog: https://t.co/zyhjO6Ht7n pic.twitter.com/HgaWOPQIPV
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al. https://t.co/5SkbM49luU
— PyTorch Best Practices (@PyTorchPractice) March 12, 2020
NEW: I've made a Colab specifically for the "stable colorizer" as another option for you guys when using the open source version of DeOldify. Main differences- it does skin better and tends to have less glitches, but produces less interesting colors. https://t.co/f1kypZQ4re
— Jason Antic (@citnaj) March 10, 2020
ForwardTacotron - a simplified Tacotron without attention for Speech Synthesis, efficient, fast and robust.
— PyTorch (@PyTorch) March 10, 2020
🔈 Samples: https://t.co/xMq58HMQuC
🔤 Github: https://t.co/5Ew7u7AA2P
📕 Colab: https://t.co/uK1Qle1kwK https://t.co/x4q41lzEJh
StyleGAN2 Distillation for Feed-forward Image Manipulation
— roadrunner01 (@ak92501) March 10, 2020
pdf: https://t.co/1Ah4u3PPeu
abs: https://t.co/ZFR5hYH2Ts
github: https://t.co/4OcHBiZbHw pic.twitter.com/78H8LTXkMx
Interested in analyzing #coronavirus data in R? There's now an #rstats package with data from the @hopkinsengineer repository. Pkg updates daily:https://t.co/GeKveyvMTx
— Sharon Machlis (@sharon000) March 2, 2020
Shiny dashboard w/ that data: https://t.co/RXhGBCjE13
Dashboard code: https://t.co/RXhGBCjE13
by @Rami_Krispin pic.twitter.com/hqAZCGOaBt
"pytorch-optimizer -- collections of ready to use optimization algorithms for PyTorch" https://t.co/4yuEIWqhn2
— Sebastian Raschka (@rasbt) March 2, 2020
arXiv link: https://t.co/u7i5aPCyMU
— hardmaru (@hardmaru) March 2, 2020
Code: https://t.co/lTvtuqeqny