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Tweets
Proving a long-standing conjecture about flower petals and coral reefs, a yearslong endeavor full of unexpected hurdles and sleepless nights. #Mathematics https://t.co/mywMHw1eRk
TheOrbifold Retweeted
TensorFlow@TensorFlowTensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.
Total Tweets906
Followers184.20K
Following97
@TensorFlow: BodyPix 2.0 has been released, including multi-person segmentation support and a new live demo!
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
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
Entropy — The Pillar of both Thermodynamics and Information Theory. https://t.co/fSWBb4tAej #DataScience https://t.co/DVh9M3aMFJ
Community resources: awesome applied category theory. https://t.co/bDTanOJhgV #Mathematics https://t.co/CteyaP3DsA
Google #AI Blog: New Solutions for Quantum Gravity with #TensorFlow https://t.co/i5ev0Or6yD https://t.co/YgXe3cCqql
Meet Big Data Tools – Apache Spark Integration and Zeppelin Notebooks in IntelliJ IDEA. @jetbrains...they make such awesome stuff. https://t.co/eYscKyL6Ac https://t.co/x5dNaxSK9Q https://t.co/EN7ElGn5Cg
Why Is Category Theory a Trending Topic? #Mathematics https://t.co/kMcFOXGpYp https://t.co/HMAA6BUL84
TheOrbifold Retweeted
Martin Vetterli@MartinVetterliPresident and Professor of Engineering at @EPFL @EPFL_en. Retweets and likes are not endorsements.
Total Tweets2.92K
Followers7.15K
Following1.71K
@MartinVetterli: Happy birthday @nature! 150 years of publishing wrapped in a dataset beautifully visualised by Alice Grishchenko, Mauro Martino (@martino_design) and co. Go explore for yourselves! https://t.co/siAqtVnDP8 via @natureNews ping @KirellBenzi @gderasse @OrionPenner https://t.co/THHKeomYeM
Fascinating. Noise in the Brain Encodes Surprisingly Important Signals. https://t.co/k35KjULtXJ https://t.co/U3azGiFJrY
Swift Numerics: on the way to #DataScience with #SwiftLang. https://t.co/ZAMFbnVeLN https://t.co/e0GwRahmGd
The world we live in 🙈 Quantum supremacy is like a horse race where you don’t know how fast your horse is, you don’t know how fast anybody else’s horse is, and some of the horses are goats. https://t.co/k8L43IHZOl #QuantumComputing https://t.co/hsxMknGTeT
Learn How to Perform Feature Extraction from #Graphs using DeepWalk https://t.co/V55RdFcguO #GraphLearning https://t.co/jz7p0RlZs7
TensorFlow moving away from the @Medium platform. Something obvious or something strategic? https://t.co/uDP7wYHoel https://t.co/fPi7pE1LYL
TheOrbifold Retweeted
@huggingface: Try the @OpenAI output detector model for yourself with this web demo:
https://t.co/vBbyvgNd13
Enter a block of text to see if the detector thinks it's human-written...or a GPT-2 forgery.
https://t.co/vBbyvgNd13
Enter a block of text to see if the detector thinks it's human-written...or a GPT-2 forgery.
TheOrbifold Retweeted
@huggingface: The 1.5 billion parameter GPT-2 (aka gpt2-xl) is up:
✅ in the transformers repo: https://t.co/KvUK5V7owl
✅ try it out live in Write With Transformer🦄 https://t.co/R0WHn2WMQt
Coming next:
🔘 Detector model based on RoBERTa
Thanks @OpenAI @Miles_Brundage @jackclarkSF and all
✅ in the transformers repo: https://t.co/KvUK5V7owl
✅ try it out live in Write With Transformer🦄 https://t.co/R0WHn2WMQt
Coming next:
🔘 Detector model based on RoBERTa
Thanks @OpenAI @Miles_Brundage @jackclarkSF and all
New discovery we were all waiting for: 3 = 569,936,821,221,962,380,720³ + (−569,936,821,113,563,493,509)³ + (−472,715,493,453,327,032)³ https://t.co/vrN2jJYsOg #Mathematics https://t.co/TE587SYOiU
Modzy by @BoozAllen: enterprise #AI platform and marketplace offering scalable, secure, and ready-to-deploy AI models. https://t.co/raHrkoy9rA https://t.co/wAzbX9Q7Aw
Visual Studio Online: Web-Based IDE & Collaborative Code Editor.
Accessible from anywhere. https://t.co/K3nRELshX8 https://t.co/PG0ddyJxQx
Accessible from anywhere. https://t.co/K3nRELshX8 https://t.co/PG0ddyJxQx
😳 So, they finally do release the scary GPT-2 model and code. Beginning of the end or the end of the beginning? https://t.co/GLXE8ZrbQ2 #NLP #AI @OpenAI https://t.co/mKD04sQPhw
Wonderful book 📔: #Mathematics essentials related to deep learning. And much more. https://t.co/TLMqH1qjki #MachineLearning https://t.co/2ScldsWjZD
Semiotic by @nteractio: #dataviz framework for React. https://t.co/eNTaNI7Rtm https://t.co/R0FhAltVmM
Graph learning: How humans infer and represent
networks. https://t.co/g6XHsZ74Ba #GraphLearning #SemanticAI https://t.co/sRdYr9jj2T
networks. https://t.co/g6XHsZ74Ba #GraphLearning #SemanticAI https://t.co/sRdYr9jj2T
Hugging Face ConvAI chatbot. Thinks France is part of the US 😫. America first even in #NLP. https://t.co/J7zvElZBql https://t.co/fIq6iF1TSm
Graph Link Prediction using GraphSAGE. Or how I could spend the rest of my life exploring #GraphLearning and how I believe it's more fundamental than classic #MachineLearning. https://t.co/n66QDmCPVo https://t.co/4PWKmjHUtr
Neural Structured Learning in TensorFlow. They call it NSL but everyone else calls it graph learning. Not very appealing API and not close to what other projects deliver (like my favorite @stellargraph_io). https://t.co/eFXwwDOCJk #graphs #GraphLearning #AI https://t.co/LxChPS9PEJ
Node predictions using GraphSage on the Cora citations network; 88% accurate, red nodes are errors. Thanks to
@stellargraph_io, graph layout using yEd Live by
@yworks. #AI #graphs #GraphLearning https://t.co/tkrq9w9gPl https://t.co/B2D9HPOCqA
@stellargraph_io, graph layout using yEd Live by
@yworks. #AI #graphs #GraphLearning https://t.co/tkrq9w9gPl https://t.co/B2D9HPOCqA
TheOrbifold Retweeted
Colaboratory@GoogleColabColaboratory is a data analysis tool that combines text, code, and code outputs into a single document.
Total Tweets71
Followers13.51K
Following2
@GoogleColab: Colab now has a Data Table extension that allows interactive exploration of pandas dataframes with filtering and sorting. Details in https://t.co/7pFXAIPRew https://t.co/SuzasqjEoP
Swift for #TensorFlow at TFWorld2019. Not yet ready for all but remains an exciting shift. Will devs buy it? https://t.co/EJeYZk8IUI https://t.co/kh6F9Emb01
https://t.co/YaixHBsKth Easily host, track, and share your ML experiments for free.
A managed TensorBoard experience that lets you upload and share your ML experiment results with anyone. https://t.co/HTXshj5wDL https://t.co/KO9suezIJW
A managed TensorBoard experience that lets you upload and share your ML experiment results with anyone. https://t.co/HTXshj5wDL https://t.co/KO9suezIJW
TheOrbifold Retweeted
MathType@MathTypeType and handwrite mathematical notation. Easily include quality math equations in your documents and digital content. Part of @wirismath
Total Tweets2.25K
Followers2.39K
Following240
@MathType: In such a spooky day as October 31st 1815, Karl Weierstrass was born. Part of his mathematical legacy is the also spooky Weierstrass function: continuous everywhere, differentiable... nowhere *shivers* #Analysis #MathType #HappyHalloween https://t.co/TdW9JpEJ0D
TheOrbifold Retweeted
spaCy@spacy_ioOpen-source library for industrial-strength Natural Language Processing in Python. Developed by @explosion_ai 💥
📖 https://t.co/YkVR838V7S
📘 https://t.co/6kqoeWgvd2
📺 https://t.co/46ioYHURlW
Total Tweets704
Followers11.10K
Following8
@spacy_io: Out now: spaCy v2.2.2! New features include:
🧮 Multiprocessing in nlp.pipe
⏳ Simpler GPU install and setup
💬 Base support for Luxembourgish and model fixes
🔮 Forwards-compatible support for future APIs
https://t.co/vMk76QaSbw
🧮 Multiprocessing in nlp.pipe
⏳ Simpler GPU install and setup
💬 Base support for Luxembourgish and model fixes
🔮 Forwards-compatible support for future APIs
https://t.co/vMk76QaSbw
Using Laplacians for graph learning: predicting node labels by looking at the Laplacian of a graph. https://t.co/l1pFmoghkf #graphs #GraphLearning https://t.co/QNbs79UgI0
An intro to persistent homology. https://t.co/KmKxzRygb8 #TDA #MachineLearning https://t.co/MA5JdPA4IE
Polynote: the polyglot notebook
with first-class Scala support. https://t.co/D6BLJ25p5w #scalalang #MachineLearning https://t.co/JipxCKYaG6
with first-class Scala support. https://t.co/D6BLJ25p5w #scalalang #MachineLearning https://t.co/JipxCKYaG6
Spark 3.0 introduces a new module: Spark Graph. Spark Graph adds the popular query language Cypher, its accompanying Property Graph Model and graph algorithms to the data science toolbox. https://t.co/JvVWYshfDe #graphs #AI https://t.co/Ohswhafywl
The “sensitivity” conjecture stumped many top computer scientists, yet the new proof is so simple that one researcher summed it up in a single tweet. https://t.co/bgVxW1PKPC #Mathematics https://t.co/pAgE6194Ho
A Power Law Keeps the Brain’s Perceptions Balanced. New research shows that patterns of neural activity are as detailed, or high-dimensional, as they can possibly be without becoming fractal, or non-smooth. https://t.co/VEFj2OGNrY #AI https://t.co/Q3UdqMWg4s
What a Deep Learning algorithm says about composition, style, and the relationship between #MachineLearning and the arts. Colorizing Images with a Convolutional Neural Network. #art #AI
https://t.co/zAhBlx3aSO https://t.co/5ZpgJEtlvQ
https://t.co/zAhBlx3aSO https://t.co/5ZpgJEtlvQ
Facebook Adds This New Framework to It’s Reinforcement Learning Arsenal https://t.co/DeTuRhS43H #ReinforcementLearning https://t.co/YUsnTU2Hdj
Microsoft’s #AI rewrites sentences based on context. https://t.co/g0sENB1NZ8 #NLP https://t.co/YbQvdFUXRc
Lathe: machine learning for Julia. https://t.co/lTqjPTqS0D #julialang #MachineLearning https://t.co/gQh3C2416H
The curse of genius. Mind, not every genius is a misfit and being a misfit is in no way a sign of #genius. https://t.co/RQ3mhEv1vh https://t.co/zgtLMP0aR0
Ubuntu 19.10 arrives with edge capabilities for Kubernetes, integrated #AI developer experience. https://t.co/bYNkQbvP03 https://t.co/ddTGIcnTdf
ML Library integrating the best of TensorFlow into PyTorch. https://t.co/wingd9ZQms #NLP #AI https://t.co/iTefDBQUd6
TheOrbifold Retweeted
@emymin1: Some videos I made by taking the latent and class vectors of some pictures I generated yesterday and interpolating between them frame by frame using huggingface's pytorch implementation of BigGan! The results are beautiful!!
#AI #art #BigGan https://t.co/aBH3is4LQp
#AI #art #BigGan https://t.co/aBH3is4LQp
Managed MLflow Now Available on Databricks Community Edition. https://t.co/QxpjF2bllM #MachineLearning @databricks
Facebook AI released a dataset containing coding questions paired with code-snippet answers, intended for evaluating #AI-based natural-language code search systems. #NLP
https://t.co/YqaeY5rwek
https://t.co/YqaeY5rwek
How Boston Scientific Improves Manufacturing Quality Using Graph Analytics https://t.co/stHspVIJdk #graphs #neo4j https://t.co/RyFuMAUWzx
Building a Large-scale, Accurate and Fresh Knowledge Graph. https://t.co/Pn7UpqEo05 #graphs #knowledgebase https://t.co/jzEu1McAv2
#PyTorch was created to overcome the gaps in #Tensorflow. FastAI was built to fill gaps in tooling for PyTorch. But now we’re hitting the limits of Python, and Swift has the potential to bridge this gap. https://t.co/6LcRSZsvgk #AI #SwiftLang https://t.co/sWQo3wgHo7
PyTorch’s increasing dominance in research. While some believe that #PyTorch is still an upstart framework trying to carve out a niche in a #TensorFlow-dominated world, the data tells a different story. https://t.co/U6CZswwN12 #AI https://t.co/pGKvPrN0jh
TheOrbifold Retweeted
@w4nderlus7: We released Ludwig v0.2.1 with new vector features (that also allow for noise aware losses), new support for Norwegian and Lithuanian (thanks to @spacy_io 2.2), reorganized dependencies and many bugfixes. Enjoy! https://t.co/nrZj6fMMUd #Ludwig @UberEng @UberOpenSource
Knowledge Graphs: a powerful #DataScience technique to mine information from text. https://t.co/7LvGVCTQN0 #NLP https://t.co/Y4hJF1vqOP
TheOrbifold Retweeted
Weight Minds@parakatu10Imagine being able to cross a line in time. To engage with people who have left their legacy for humanity. History of Science #mathematics #physics #astronomy
Total Tweets462
Followers706
Following924
@parakatu10: Human intelligence: have we reached the limit of knowledge? https://t.co/WqzfYRX2T1 via @ConversationUK
Never thought I'd see an article on Forbes talking about category theory, but there it is. The Future Will Be Formulated Using Category Theory. https://t.co/fVfaldBj53 #Mathematics https://t.co/s9J8Io3mAU
TheOrbifold Retweeted
DeepGraphLibrary@GraphDeepOfficial twitter for Deep Graph Library
Total Tweets23
Followers1.50K
Following22
@GraphDeep: Heterogeneous graph support is finally here! Many new models: GCMC, RGCN(for hetero), HAN, Metapath2vec. New DGL-KE package supports efficient training of TransE, ComplEx, DistMult. Look forward to new research ideas using the right tool! V0.4 release: https://t.co/c4hfM7qr4P https://t.co/tdzzfa8RgX
With Category Theory, #Mathematics Escapes From Equality. https://t.co/w7QpmTt8TN
Google AI: Announcing Two New Natural Language Dialog Datasets. #NLP https://t.co/qsQLzq4Gym https://t.co/7VXScZQwWh
How I learned to stop worrying and love graph databases. https://t.co/AkVlF8CttX #graphs https://t.co/f6LTaW5rzu
Girvan-Newman community detection using NetworkX.
https://t.co/Z715IlOv6o
#graphs https://t.co/S5TSH91gnn
https://t.co/Z715IlOv6o
#graphs https://t.co/S5TSH91gnn
TheOrbifold Retweeted
@yworks: A new release for yFiles for HTML is now live! It features the usual improvements and new source code demos for e.g. React, Vue-CLI, automated testing, and new documentation.
Check out the new demos here: https://t.co/wlhWbUKmC3 https://t.co/pAG1vjGMFk
Check out the new demos here: https://t.co/wlhWbUKmC3 https://t.co/pAG1vjGMFk
TheOrbifold Retweeted
spaCy@spacy_ioOpen-source library for industrial-strength Natural Language Processing in Python. Developed by @explosion_ai 💥
📖 https://t.co/YkVR838V7S
📘 https://t.co/6kqoeWgvd2
📺 https://t.co/46ioYHURlW
Total Tweets704
Followers11.10K
Following8
@spacy_io: Out now: spaCy v2.2!
🎁 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
https://t.co/HzXQ6Se4GP
🎁 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
https://t.co/HzXQ6Se4GP
Algorithmic Beauty: An Introduction to Cellular Automata https://t.co/MfhDzhtHvu https://t.co/JdHggJvCeh
TheOrbifold Retweeted
Weight Minds@parakatu10Imagine being able to cross a line in time. To engage with people who have left their legacy for humanity. History of Science #mathematics #physics #astronomy
Total Tweets462
Followers706
Following924
Recreating Imagination: DeepMind Builds Neural Networks that Spontaneously Replay Past Experiences. https://t.co/QaMQxzLPJk #AI https://t.co/xaw4mNd1TE
Transformers 2.0: #NLP library with deep interoperability between #TensorFlow 2.0 and #PyTorch. https://t.co/BngbSo1lh6 #AI https://t.co/X0x1qGq80R
The wait is over, TensorFlow v2.0 has been released! 💃🕺 https://t.co/W5yMVd353u https://t.co/KVTMIe0hpV
Spatio-Temporal Graph Convolutional Networks: to tackle the time series prediction problem in traffic. Using #graphs to build a model with complete convolutional structures, which enable much faster training speed with fewer parameters. https://t.co/pyHHO0VX2m #AI https://t.co/AEgTJIRsU1
Fashion and Technology: How Deep Learning Can Create an Added Value in Retail https://t.co/mqRmzmKOPO #AI https://t.co/Tmq3nuVmmS
Big Question About Primes Proved in Small Number Systems. https://t.co/4UyPHPTylY #Mathematics https://t.co/zqINR2QWnV
TheOrbifold Retweeted
Estelle Scifo@st3llasiaLooking for next challenges in:
#MachineLearning - #Python - #Neo4j & graph data
Experience with remote work!
💡📈🤝 🇫🇷🇮🇹 🇪🇺
Total Tweets240
Followers83
Following204
@st3llasia: I've just release version 0 or neomap, a tool to visualize nodes with latitude/longitude on a map, integrated with #Neo4j Desktop. Want to try it and/or help with future development? Everything is in #github:
https://t.co/fym76Y4C3C
Technos: #React #leaflet
https://t.co/fym76Y4C3C
Technos: #React #leaflet
Facebook Open-Sources RoBERTa: an Improved Natural Language Processing Model https://t.co/9X0OsRh2CH #NLP https://t.co/sAcWkC3kiz
Brilliant idea, let’s embed time. It’s just another type of data in the end: Time2Vec for Time Series features encoding. https://t.co/RF5VfmITiX https://t.co/DlX4HLeGJr
.NET Core 3.0 is now available with C# 8, F# 4.7, https://t.co/qZI5fDyKWw Core 3.0 and general availability of EF Core 3.0 and EF 6.3. https://t.co/8WW4NDI3pO https://t.co/q22dOJirQr
TheOrbifold Retweeted
Julien Chaumond@julien_cCo-founder and CTO at @huggingface 🤗. Natural language processing, Prob languages, Transfer learning. @Stanford + @Polytechnique
Total Tweets10.16K
Followers6.56K
Following912
@julien_c: GPT-2 on device is blazing fast on iPhone 11 ⚡️
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
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
AI and machine learning algorithms suffer from a "black box" problem. Fiddler aims to solve it with a suite of interpretability tools. https://t.co/KA0AbYajNL #AI https://t.co/IAYwkEmkHN
Demystifying BERT: The Groundbreaking #NLP Framework. https://t.co/d6bU0wfZqy https://t.co/dtqe39tuxb
Faster, Smarter, Better: Optimizations for Neo4j Graph Algorithms. https://t.co/eFWLlzepkl #graphs https://t.co/L6IWvtxgzx
TheOrbifold Retweeted
@yworks: Our online app for the visualization of the #marvel #cinematic universe won the first prize at #GD19 in Prague🥳
...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
...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
Fascinating. OpenAI Tried to Train #AI Agents to Play Hide-And-Seek but Instead They Were Shocked by What They Learned. https://t.co/DKJKwtZiAc https://t.co/RUOh38xGXX
AI 50: America’s Most Promising Artificial Intelligence Companies. https://t.co/3gfgpVwJAp #AI https://t.co/oHxPdWx9tZ
Why You Can Thrive as a Developer When You Minimize Your Ambitions. https://t.co/jXl7eqwbuR https://t.co/9M99bisFbY
DeepMind Has Quietly Open Sourced Three New Impressive Reinforcement Learning Frameworks https://t.co/BYGYoq57Eh #AI https://t.co/vsLDLiXnkw
Beauty of Karger’s algorithm: Randomness of Monte Carlo in #Graphs https://t.co/agIKwU0fkU https://t.co/aChFB6EOoJ
Visualizing 100,000 Amazon Products. #dataviz #graphs https://t.co/TPFD1161ts https://t.co/TLu7JV2oyP
Graph Algorithms on GPU with cuGraph. https://t.co/nTXpluAxT1 #DataScience #graphs https://t.co/IRqU0eP0Y8
Introduction to #MachineLearning in C# with Microsoft https://t.co/FdoMGN1YWh https://t.co/kignQ6Sjyx https://t.co/ROWpmAy03x
Apple details Overton #AI development tool, whose models have processed ‘billions’ of queries. https://t.co/wADNxifnNb https://t.co/T4iishc30T
The Full Stack Data Scientist: Myth, Unicorn, or New Normal? https://t.co/Z04Q1wmlGT #DataScience https://t.co/Y3OTkiS5Pl
AI-powered code review now available for Visual Studio Code. https://t.co/kWCNbUL5Tk #AI https://t.co/lUY8TBYE8I
Nvidia Rapids cuGraph: making graph analysis ubiquitous. https://t.co/r12RjmwUQe #graphs https://t.co/EIlOzGBN6d
Graph Algorithms, Neural Networks, and Graph Databases. Some strong statements in this article but we live in times of hypes and hyperboles. https://t.co/HpUWaFbBD7 #graphs #GraphLearning https://t.co/veFuvsomvN
Algorithms Can’t Accurately Interpret Human Emotion and That’s Probably a Good Thing https://t.co/fIX0tSZecD #AI https://t.co/P9nVWExw2M
