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Tweets
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 Tweets404
Followers630
Following999
@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
Followers1.42K
Following21
@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 Tweets679
Followers10.58K
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 Tweets404
Followers630
Following999
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 - (#Baysian) data analysis - #Python - #Java - #Neo4j & graph data
(remote positions preferred)
💡📈🤝
Total Tweets216
Followers50
Following193
@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 Tweets10.08K
Followers6.17K
Following894
@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
Introducing quantum convolutional neural networks https://t.co/w8UtFRJRlK #QuantumComputing https://t.co/mpcdJqMKLC
Tutorial on Variational Graph Auto-Encoders . #graphs #GraphLearning https://t.co/5M5H4vyBCL #AI https://t.co/Pe7IcPjDxP
Practical guide to Attention mechanism for NLU tasks. https://t.co/eVIwEYAIsz #AI #NLP https://t.co/yxrKRrDh9Q
Neural Structured Learning using #TensorFlow. https://t.co/RO5BtozUQB #graphs https://t.co/k2n9WdsbKy
Two New Deep Conjectures in Probabilistic Number Theory. 🎓 #maths https://t.co/kQz9sNB0TJ https://t.co/l3RrNHqFeh
TheOrbifold Retweeted
Burton DeWilde@bjdewildedata scientist at @chartbeat, do-gooder with @datakind, photographer, retired physicist 🏳️🌈
Total Tweets1.57K
Followers564
Following271
@bjdewilde: Just released: textacy v0.9.0! 🥳
- PY3-only
- data augmentation
- new and improved linguistic resources
https://t.co/Pz6NTiPVMu
- PY3-only
- data augmentation
- new and improved linguistic resources
https://t.co/Pz6NTiPVMu
IBM releases quantum computing textbook and video tutorials. https://t.co/jB7dvYpGzD #QuantumComputing https://t.co/Wm1VBpwAJl
TheOrbifold Retweeted
Allen Institute for Artificial Intelligence (AI2)@allen_ai› Join us in building AI for the Common Good: https://t.co/0ip1D2VdZ2
› Get our newsletter: https://t.co/0FMF3m22VC
Total Tweets959
Followers24.27K
Following160
@allen_ai: Read about the science behind Aristo's milestone achievement in multiple-choice question answering in our paper "From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project"
https://t.co/5b9Bc3fFub https://t.co/wq6Bc0judH
https://t.co/5b9Bc3fFub https://t.co/wq6Bc0judH
OpenAI has released the largest version yet of its fake-news-spewing #AI. https://t.co/Is6AaQB5IV https://t.co/E0b0kaNrrg
Google today introduced Neural Structured Learning (NSL), an open source framework that uses the Neural Graph Learning method for training neural networks with graphs and structured data. https://t.co/RO5BtozUQB #AI https://t.co/Z0mzhoBiPr
There’s no such thing as perpetual growth. Yet that’s what traditional business people crave. But what is growth meant to achieve? “To grow bigger” is not much of an effective business strategy at all. (Ricardo Semler) #whatisthepoint https://t.co/Azpif2VP8m
Digital marketing optimization: dataviz of conversion paths. Using Markov #graphs, some machine learning and @yworks, of course. #dataviz https://t.co/OvtWZM8Bxd
Bayesian Neural Networks in 10 mins using #TensorFlow. https://t.co/yAQontchUs #ProbabilisticProgramming https://t.co/h12AAUpd3S
ConvLab: open-source multidomain dialog system,
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
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
Introducing TF-GAN: A lightweight GAN library for TensorFlow 2.0 https://t.co/GHBvqWHFJz #AI https://t.co/G3fXRAq3u4
Create your own deep neural art with https://t.co/0j9hHZgo2V. #MachineLearning https://t.co/i2n1p3VEAW
An Introduction to Graph Databases. #graphs https://t.co/7LuwoVBcwY
Intuition behind Restricted Boltzmann Machines. #AI https://t.co/xCM9x1ivxI
TheOrbifold Retweeted
Jeremy Davies@DaviesJeremyTechnology lover who knows how to communicate :-) CEO + Head of Research & Development @ Gentle Reader Ltd & https://t.co/gbWxeTR6p9
Total Tweets2.79K
Followers1.23K
Following531
@DaviesJeremy: Network analysis of Prisoners of Zenda book with SpaCy and Neo4j by Tomaz Bratanic https://t.co/06Lv4M3XxU @DaviesJeremy @gentlereader @spacy_io #NER
Google researchers present Weight Agnostic Neural Networks (WANNs) that perform tasks without learning weight parameters https://t.co/uMcJaOPR4N #AI
Exploring Weight Agnostic Neural Networks by #Google #AI. https://t.co/wDUoV1tv46 https://t.co/835G9TQjSf
😳 Weight Agnostic Neural Networks that perform tasks without learning weight parameters. https://t.co/rIiDcbaiiC #AI https://t.co/VG4RBwp44M
TheOrbifold Retweeted
TensorFlow@TensorFlowTensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.
Total Tweets850
Followers178.20K
Following97
@TensorFlow: TensorFlow 2.0.0-rc0 has been released! With a focus on simplicity and ease of use, this release features API simplification, easy model building with Keras, and more.
See the full release notes for details on added features and changes ↓ https://t.co/UNdjms70MC
See the full release notes for details on added features and changes ↓ https://t.co/UNdjms70MC
Reconciling your data and the world with knowledge #graphs. https://t.co/RHq5joVxnn https://t.co/MiRX7Cjkqx
This Microsoft Model can Generate Images from Short Texts. #AI https://t.co/EG0QtCKENT https://t.co/hTNsi1412I
Rust is the future of systems programming, C is the new Assembly. https://t.co/oLSA6Wa9I8 #rustlang https://t.co/QZKSfl8MtA
TheOrbifold Retweeted
Andreas Madsen@andreas_madsenFreelancing in Machine Learning as a Research Software Engineer. — Looking for a funded PhD or a full-time Research Software Engineer position in ML.
Total Tweets825
Followers514
Following390
@andreas_madsen: For 6 months I have been working on implementing special functions in @TensorFlow.js. Now it is finally done. This enables using probability distributions and solving partial differential equations. Please check out https://t.co/zHvPDovrA5 and consider sharing the news. Thanks :)
10 innovative data visualizations in Python, R and Tableau. #dataviz https://t.co/bYesv0XeYI https://t.co/4m5Ic2ToRd
Another stellar framework I could fill the rest of my life with. StellarGraph: Machine Learning on Graphs. https://t.co/qE9m3JQqI1 #AI #graphs #MachineLearning https://t.co/QztcYg60K1
Road detection using segmentation models. https://t.co/CKCqhAO6hK #MachineLearning https://t.co/DaDqo2Q9ze
Albumentations: fast image augmentation library and easy to use wrapper around other libraries. https://t.co/RKJBlqJYBT #AI https://t.co/bu5owVtFUG
OpenGPT-2: we replicated GPT-2 because you can too. Had to happen. With a lot of self-praise of course. https://t.co/boWUljwYd0 #NLP #AI https://t.co/rIOTK62pI1
Combining #TensorFlow with Apache Arrow datasets. https://t.co/UisMykAgVx #MachineLearning https://t.co/uTyOLt4NNq
Learning to Learn: A Gentle Introduction to Meta-Learning https://t.co/WNr5CLIpQH #AI https://t.co/uM1b0YuHM0
Getting Started in #DeepLearning with TensorFlow 2.0 https://t.co/hHROjiikrO https://t.co/oWjLvrVW28
What you need to know first about the inexplicable world of #QuantumComputing. It's decades away. https://t.co/1ATGmJhw12 https://t.co/uQF6EPP8Es
