You may visit our Site without identifying yourself or revealing any personal information. Our Site does collect information such as domain names, IP address, browser type, operating system, access times and referring Web site addresses. This information is used by Orbifold Consulting for the operation of the service, to maintain quality of the service and for site trends and statistics. This information does not personally identify you.
We do not sell, rent, or give your personal information to any third party. And we do not use your information for any purpose outside the scope of communicating with you in the most efficient manner. We may use your personal information to deliver services, such as newsletters, events, training or software, that you request or purchase. We may also use any information you have provided as reasonably necessary to provide customer support to you.
Links to Third Party Sites
At this Site, there may be links to companies with whom we have a relationship. Orbifold Consulting is not responsible for the privacy practices of our business partners. We encourage you to read their privacy statements, as they may differ from ours.
📝 Paper: https://t.co/NuUG7HDOGZ
🤖 Model & Code: https://t.co/52vzfsh1WS
🌐 Website: https://t.co/HR3C9Spb4x https://t.co/s1NDNWE8J9
- Significantly better samples (better FID scores & reduced artifacts)
- No more progressive growing
- Improved Style-mixing
- Smoother interpolations (extra regularization)
- Faster training
Github: https://t.co/kw6X8NvjXC https://t.co/5Cnlg9j91V
ALBERT is released alongside CamemBERT, implemented by the authors, DistilRoBERTa (twice as fast as RoBERTa-base!) and GPT-2 XL!
Encoder-decoder with ⭐Model2Model⭐
Available on https://t.co/rNsF2qEV2C https://t.co/r6M39jYPHf
To learn more, read the post by @tylerzhu3, @oveddan, @greenbeandou, @dsmilkov, @karlssonper, @ire_alva, @nsthorat.
Details here → https://t.co/Zq8dwiNO5A https://t.co/a4qKJu9EJ1
Enter a block of text to see if the detector thinks it's human-written...or a GPT-2 forgery.
✅ in the transformers repo: https://t.co/KvUK5V7owl
✅ try it out live in Write With Transformer🦄 https://t.co/R0WHn2WMQt
🔘 Detector model based on RoBERTa
Thanks @OpenAI @Miles_Brundage @jackclarkSF and all
Accessible from anywhere. https://t.co/K3nRELshX8 https://t.co/PG0ddyJxQx
networks. https://t.co/g6XHsZ74Ba #GraphLearning #SemanticAI https://t.co/sRdYr9jj2T
@stellargraph_io, graph layout using yEd Live by
@yworks. #AI #graphs #GraphLearning https://t.co/tkrq9w9gPl https://t.co/B2D9HPOCqA
A managed TensorBoard experience that lets you upload and share your ML experiment results with anyone. https://t.co/HTXshj5wDL https://t.co/KO9suezIJW
🧮 Multiprocessing in nlp.pipe
⏳ Simpler GPU install and setup
💬 Base support for Luxembourgish and model fixes
🔮 Forwards-compatible support for future APIs
with first-class Scala support. https://t.co/D6BLJ25p5w #scalalang #MachineLearning https://t.co/JipxCKYaG6
- Artificial Intelligence (92)
- Big Data (18)
- Data Science (93)
- Diverse (4)
- Quantum Computing (36)