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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
#AI #art #BigGan https://t.co/aBH3is4LQp
Check out the new demos here: https://t.co/wlhWbUKmC3 https://t.co/pAG1vjGMFk
🎁 Core models for Norwegian & Lithuanian
🌷 Dutch NER with more labels
💾 5-10× smaller install on disk
⚡ 10× faster phrase matching
🗄️ Efficiently serialize collections of Doc objects
📟 CLI for textcat training & data debugging
Technos: #React #leaflet
Core ML 3 is officially out so we can do state-of-the-art text generation on mobile (117M parameters running ~3 times par second on the neural engine!)
We put together a small video benchmark ⬇️ https://t.co/fxL8KvvUyd
...and we also won the manual graph drawing challenge!
...and Tuebingen will be hosting #GD2021!
We're so proud! 😊
Try it here and RT! https://t.co/zrSLKpSGjd https://t.co/JLrSB0B2kQ
- data augmentation
- new and improved linguistic resources
that enables to quickly set up experiments with reusable components and compare a large set of different approaches, ranging from conventional pipeline systems to end-to-end neural models. https://t.co/xym9IrXXNi #AI #NLP #chatbots https://t.co/sZVxEoLywx
- Artificial Intelligence (92)
- Big Data (18)
- Data Science (93)
- Diverse (4)
- Quantum Computing (36)