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Tweets
TheOrbifold Retweeted
Curiosity@curiosity_aiThe easiest #enterprisesearch platform, for every team
Total Tweets159
Followers125
Following102
@curiosity_ai: If anyone is curious🤔, the source-code for the dataset ingestion & front-end is available on @github
https://t.co/UisdhUvhSc https://t.co/WykaxP5gRD
https://t.co/UisdhUvhSc https://t.co/WykaxP5gRD
In this year of solitude, disorientation and distance, we have been navigating what feels like misshapen terrain and time. Even as we mourn the people we have lost, scientific innovation is thriving, and salving. https://t.co/N57C41pPUg #science #life https://t.co/reMzXB5awU
DeepMind's AlphaFold2 AI Solves 50-Year-Old #Biology Challenge https://t.co/m7sLfMLzpA #AI #Science https://t.co/APnFCDAsys
JupyterLab 3.0 is released. Comes with debugger and better mobile support. https://t.co/GqcIBDEMDm @ProjectJupyter https://t.co/X8XyPw93Ek
Neo4j Bloom has now a mini-map (thumbnail view). Few more layout algorithms and it will finally become useful. Way to go 👍. https://t.co/oCjvGSZdIp @neo4j #diagramming https://t.co/rkN1dw8kwm
TheOrbifold Retweeted
Hugging Face@huggingfaceSolving NLP one commit at a time!
#BlackLivesMatter
Total Tweets2.38K
Followers34.93K
Following29
@huggingface: Release alert: the 🤗datasets library v1.2 is available now!
With:
- 611 datasets you can download in one line of python
- 467 languages covered, 99 with at least 10 datasets
- efficient pre-processing to free you from memory constraints
Try it out at:
https://t.co/A7rmjGSELy https://t.co/c8TETfWfHr
With:
- 611 datasets you can download in one line of python
- 467 languages covered, 99 with at least 10 datasets
- efficient pre-processing to free you from memory constraints
Try it out at:
https://t.co/A7rmjGSELy https://t.co/c8TETfWfHr
TheOrbifold Retweeted
Santiago@svpinoMachine learning with a twist: I focus on making money with it. I let others deal with the theory.
Total Tweets17.05K
Followers42.49K
Following311
@svpino: Free PDF from the University of Berkeley: "Mathematics for Machine Learning."
I'm a huge proponent of starting before worrying too much about math. But some of you prefer a different approach. If that's you, take a look at this:
https://t.co/pN19lhLf7y https://t.co/zrjReg8qQT
I'm a huge proponent of starting before worrying too much about math. But some of you prefer a different approach. If that's you, take a look at this:
https://t.co/pN19lhLf7y https://t.co/zrjReg8qQT
Orange Data Mining, so well done, so much fun. Positioned as educational, it nevertheless does many things better than commercial stuff out there. Including text analytics, network analysis and forecasting. https://t.co/PyD1mujuIy #DataScience by @OrangeDataMiner https://t.co/EIuW3mF0aU
The Most Feature-Rich ML #Forecasting Methods. #rstats https://t.co/IkkqqxrmHd https://t.co/wLg29IRpnW
Speedy WebStorm 2020.3.1 is Available with Support for Apple Silicon ❣️. https://t.co/O05enDfIQ8 @jetbrains, awesome tools.
TheOrbifold Retweeted
elvis@omarsar0Doing work at @paperswithcode & Facebook AI • PhD • Machine Learning / NLP Research and Education • Founder at @dair_ai
Total Tweets8.21K
Followers16.83K
Following182
@omarsar0: I recently shared a survey paper on GNNs that was well received. For extended readings, here is a great repo containing papers on graph neural networks and other literature involving deep learning for graphs. Super useful for machine learning students.
https://t.co/ijJf3oshLJ https://t.co/iFaR8kTsEn
https://t.co/ijJf3oshLJ https://t.co/iFaR8kTsEn
In 1956 this was how IBM stored 5MB. Science and technology made progress. Unlike human nature. https://t.co/19REkuCxoj https://t.co/tJpYoIBwD9
DeepPavlov: seriously impressive open source conversational #AI framework https://t.co/El9oDoyQgu by @deeppavlov #bots https://t.co/GgVGOHYrXE
DeepMind's big losses, and the questions around running an #AI lab. Hint: $1.9 salary for researchers 🤔. https://t.co/TlV4BC9p1N https://t.co/PPIKJbUDOV
TheOrbifold Retweeted
Tryolabs@tryolabsHelping companies unlock their data’s potential with #AI & #MachineLearning. 👉 Sharing our machine learning experiences at https://t.co/6gJdbfJeeQ
Total Tweets2.72K
Followers13.15K
Following160
@tryolabs: Our yearly list of favorite #Python libraries is out! 🚀
This time we also added some honorable mentions to our main picks. Did we miss any major one? Give us a shout.
Some highlights on the thread. 👇
https://t.co/fQtoGqIlrm
This time we also added some honorable mentions to our main picks. Did we miss any major one? Give us a shout.
Some highlights on the thread. 👇
https://t.co/fQtoGqIlrm
Diagrams lets you draw the cloud system architecture in #Python code. It was born for prototyping a new system architecture design without any design tools. You can also describe or visualize the existing system architecture as well.https://t.co/R22QBtsAwA #diagramming https://t.co/VWny3vn7UX
Google Reveals Major Hidden Weakness In #MachineLearning. https://t.co/IQAA45Aul2 https://t.co/7ATl0YwWfx
Some remarkable #dataviz creations in @observablehq.
https://t.co/IbkR1FvVWm #javascript https://t.co/XgSbTF4skW
https://t.co/IbkR1FvVWm #javascript https://t.co/XgSbTF4skW
📘Applications of Deep Neural Networks, 575 page (!) free book by Jeff Heaton.
https://t.co/HNPoE2FDrL #DeepLearning #MachineLearning https://t.co/Fci7QR7lWO
https://t.co/HNPoE2FDrL #DeepLearning #MachineLearning https://t.co/Fci7QR7lWO
H2O Wave is an open-source Python development framework that makes it fast and easy for data scientists, #MachineLearning engineers, and software developers to develop real-time interactive AI apps with sophisticated visualizations. https://t.co/0GC1jqyJHn by @h2oai https://t.co/XhDTnEPejs
Really useful #COVID19 Datasets for #MachineLearning and #dataviz. https://t.co/50IjhqdIFC by @WolframResearch https://t.co/FZI0m9nxwH
TheOrbifold Retweeted
Dr. Rajeev Bukralia@rbukralia~Thought Leader ~ #DataScience & IT Strategist ~Award-winning Professor ~ Former #CIO & dean ~Exploring frontiers of #AI & #MachineLearning research
Total Tweets16.65K
Followers10.03K
Following4.89K
@rbukralia: Apple releases TensorFlow fork with speedups for M1 Macs https://t.co/p9ulmlYaMf #AI #MachineLearning #DeepLearning #DataScience #BigData #TensorFlow
TheOrbifold Retweeted
@yworks: Introducing…the #yFiles #AppGenerator! This new product lets you extract, load, transform, and #visualize #data -- without writing code.
Build quick #diagram #application prototypes for typical use cases: https://t.co/WGefD7G8de
Build quick #diagram #application prototypes for typical use cases: https://t.co/WGefD7G8de
A Quantum-Enhanced long short-term memory. Using the PennyLane Quantum Machine Learning library it’s easy to create a quantum/digital-hybrid equivalent of the glorious LSTM layer. https://t.co/ToYcKN27D6 #QuantumComputing https://t.co/1EOj22dL9v
@jetbrains Downloaded and Analyzed 10,000,000 Jupyter Notebooks From Github. https://t.co/2OTATCzwLr #DataScience https://t.co/az1IFzF6rQ
Wished I had a year free to enjoy all the things mentioned in this thread. https://t.co/SlqNjZsnHH
Graph Algorithms for Community Detection & Recommendations https://t.co/sifsIb4yyT by @neo4j #KnowledgeGraphs https://t.co/r14lIManM7
📗Excellent book on a difficult #DataScience subject. Recognize the complex interrelationships between fairness, privacy, and data security created by the use of machine learning models. https://t.co/aYGplJCaEI https://t.co/bmeccvM70c
Investigating the Ethereum Gold-Bug and Blockchains. https://t.co/gOtsoqkaOU #ComputationalIntelligence https://t.co/xAtbtvDaKT
Qodana, a New Static Analysis and Quality Management Tool by @jetbrains. https://t.co/Oi4D73xkw9 https://t.co/anAoHvQLLP
TheOrbifold Retweeted
TensorFlow@TensorFlowTensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.
Total Tweets1.38K
Followers264.88K
Following99
@TensorFlow: 🎉 TensorFlow 2.4 is here!
This latest release includes increased support for distributed training and mixed precision, new NumPy frontend, and tools for monitoring and diagnosing performance bottlenecks.
Learn more ↓ https://t.co/xFsz9nvz8G
This latest release includes increased support for distributed training and mixed precision, new NumPy frontend, and tools for monitoring and diagnosing performance bottlenecks.
Learn more ↓ https://t.co/xFsz9nvz8G
Prefect - Open source data automation. https://t.co/pOz28hPcbP Way to go @PrefectIO https://t.co/ClPF7iApjC
Kindergarten quantum computing by @coecke So much fun. Reminiscent of Penrose and Feynman diagrams. https://t.co/A9DY1xKDdc #QuantumComputing https://t.co/EKybWiLLTs
TheOrbifold Retweeted
TensorFlow@TensorFlowTensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.
Total Tweets1.38K
Followers264.88K
Following99
@TensorFlow: 💻 BERT Made Easier
Run BERT training and inference directly on text inputs: #TFHub lets you preprocess text for its numerous BERT models in just a few lines of code.
Read how ↓ https://t.co/AHIjOq7b4W
Run BERT training and inference directly on text inputs: #TFHub lets you preprocess text for its numerous BERT models in just a few lines of code.
Read how ↓ https://t.co/AHIjOq7b4W
Well done 👏 https://t.co/yCkgZ8ZOGn
Centuries-old grazing goat problem solved. Imagine a circular fence that encloses one acre of grass. If you tie a goat to the inside of the fence, how long a rope do you need to allow the animal access to exactly half an acre? https://t.co/SVDX7CrWH0 #Mathematics https://t.co/INpleAs9DQ
NeuralProphet is a python library for modeling time-series data based on neural networks. It’s built on top of #PyTorch and is heavily inspired by Facebook Prophet and AR-Net libraries. https://t.co/j1XmEulmf6 #TimeSeries https://t.co/eUcJx1nBpt
TensorFlow Recommenders, a library that makes building state-of-the-art recommender system models easy. https://t.co/71IWXA3GiZ #AI #KnowledgeGraphs https://t.co/1Yvno9Y1tD
TheOrbifold Retweeted
Dr. WJB Mattingly@wjb_mattingly{"marital": "Husband to an Awesome Wife",
"job": "Fellow @SIDataScience",
"research": "#NER #NLP @cltkorg"
"degree":"PhD #medievalhistory",
"academic_id":"#DH"}
Total Tweets203
Followers830
Following3.52K
@wjb_mattingly: New video in #NER for #DigitalHumanities (#DH).
Here, we look at a rules-based approach to NER via @spacy_io 's EntityRuler to create a rules-based spaCy NER pipe in an empty spaCy model's pipeline. Next video we use this to make a training set.
Video: https://t.co/1IaKSENeXb https://t.co/HM03BD1cFl
Here, we look at a rules-based approach to NER via @spacy_io 's EntityRuler to create a rules-based spaCy NER pipe in an empty spaCy model's pipeline. Next video we use this to make a training set.
Video: https://t.co/1IaKSENeXb https://t.co/HM03BD1cFl
My experience with #TensorFlow Quantum. https://t.co/dKOeTvWvDS #QuantumComputing https://t.co/MGCxkgU4Pf
TheOrbifold Retweeted
Obsidian@obsdmdA second brain, for you, forever. Join our community! https://t.co/F9cLHhN4GR
Total Tweets319
Followers14.40K
Following3
@obsdmd: A little graph from our Discord member QuantumNeurotechnologist... https://t.co/ThxKXDj3KG
https://t.co/Hxubaauz67 cuGraph adds NetworkX and DiGraph Compatibility. https://t.co/5L3w3mxdXM #Graphs https://t.co/Gwffv6ffok
@vnturansky Can we have a chat?
Finally official: #TensorFlow acceleration on Apple M1. Whether better than GPU and TPU is not clear though. https://t.co/Cx1GhkHvas https://t.co/Pz2r6Ij4Kz
Getting started with Random Matrices: A Step-by-Step Guide. https://t.co/6HsDOONxU1 #Mathematics https://t.co/0SnSZu0I50
#Neo4j And Cloudflare Workers to build a location personalized election result endpoint. https://t.co/RqNqCz5cwJ https://t.co/mMkLeDqVFL
TheOrbifold Retweeted
William Lyon@lyonwjTiramisu aficionado. 🤠 Code Cowboy @neo4j. Author of "Fullstack GraphQL": https://t.co/Imvg8C8whX
Total Tweets3.32K
Followers2.21K
Following3.22K
@lyonwj: A demo showing how to master customer data into a unified dataset using Tamr and #Neo4j
We can train an AI model to find where records match, enriching with geospatial data, and using a subject matter expert to validate training data. https://t.co/1RFau0lBhX
We can train an AI model to find where records match, enriching with geospatial data, and using a subject matter expert to validate training data. https://t.co/1RFau0lBhX
Understanding graph Embeddings and knowledge graphs. https://t.co/B3yfArduT4 https://t.co/QYBbU6mqtg
Creating Charts from your #Graphs. Quickly turning your Neo4j graph data into dashboards. https://t.co/CxEfbY7p1S https://t.co/BfYu0jvtXG
Fast reactive desktop UIs for Kotlin, based on Google's modern toolkit and brought to you by @jetbrains. https://t.co/YzwfEe90GX #UI https://t.co/a5Z6rgC70g
TheOrbifold Retweeted
Google AI@GoogleAIGoogle AI is focused on bringing the benefits of AI to everyone. In conducting and applying our research, we advance the state-of-the-art in many domains.
Total Tweets1.60K
Followers1.56M
Following21
@GoogleAI: Presenting Chimera Painter, a demo tool that uses #machinelearning to enable artists to rapidly create fully rendered fantastical creatures based on user-supplied outlines. Learn more and check out the demo at https://t.co/JRZi6mKRJW https://t.co/oKDNa7zUFu
Lerna, the best JS/NodeJS invention in a while. Hoisting and proper monorepo management. https://t.co/XBih0YpKH6 #javascript #NodeJS https://t.co/5Kb0qj4vcW
Built-in Jupyter notebooks in Azure Cosmos DB. Woaw, impressive 🤓 https://t.co/WJUmPaUvik #Microsoft #BusinessIntelligence https://t.co/OiZWmBa0en
Pattern Exploiting Training has proven that #NLP models need not be humungus to be effective. Expoiting sentence patterns can bring about equally effective performance on language tasks, without the need for as many parameters. https://t.co/E1U028mibq https://t.co/3K78PmIJES
AmpliGraph is a suite of neural machine learning models for relational Learning, a branch of machine learning that deals with supervised learning on knowledge graphs. https://t.co/xWMC4a3Dfk #KnowledgeGraph #MachineLearning https://t.co/L77C4j1ECV
Predicting the spread of Covid-19 using networks (in R) Part 2. https://t.co/ZrUGcjp8Ok #rstats #networks https://t.co/YGOYoue0MV
Of course nice to have things like graphsage and other ML inside Neo4j but it's nowhere near what StellarGraph can do and it has Neo4j integration on top. https://t.co/Xe9684Xvz5 #MachineLearning #graphs @stellargraph_io https://t.co/mJhep0C3Fh
GitHub Launches Codespaces. Code Directly On Your Browser. Codespaces works like a virtual Integrated Development Environment (IDE) on the cloud.
https://t.co/Q8EiyYL2Uz https://t.co/W3QdA1nFl6
https://t.co/Q8EiyYL2Uz https://t.co/W3QdA1nFl6
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 Tweets924
Followers15.77K
Following7
@spacy_io: IT'S HERE! Today we're releasing spaCy nightly, the first candidate for the upcoming v3.0.
🛸 Transformer-based pipelines for SOTA models
⚙️ New training & config system
🧬 Models using any framework
🪐 Manage end-to-end workflows
🔥 New & improved APIs
https://t.co/X2i0XwEbv0
🛸 Transformer-based pipelines for SOTA models
⚙️ New training & config system
🧬 Models using any framework
🪐 Manage end-to-end workflows
🔥 New & improved APIs
https://t.co/X2i0XwEbv0
Natural graph networks. Not sure the categorical flavor adds much to the formalism, but interesting to see category theory appearing in @Qualcomm research. https://t.co/7ZHEsJvZgU #graphs https://t.co/9EI7gS4ADS
Microsoft Jericho is an Open Source Framework for Training Machine Learning Models Using Linguistic Games.https://t.co/9WDZsnPsLm #NLP #AI https://t.co/XhYjWpUJQe
Python 3.9 has been released and comes with a new graphlib module, among other things of course. https://t.co/0LX8AFNXXR #python https://t.co/Z0oex3Cy3F
Roger Penrose got a Nobel prize for physics. Wonderful. Well-deserved. So happy it's not been awarded to a string theorist or multiverse lunatic. #NobelPrize2020 #RogerPenrose #physics https://t.co/AHSCa5xDd2
How to train graph convolutional network models in a graph database. https://t.co/mAwXXLgJhL #AI https://t.co/305P0sLHyB
TheOrbifold Retweeted
Obsidian@obsdmdA second brain, for you, forever. Join our community! https://t.co/F9cLHhN4GR
Total Tweets319
Followers14.40K
Following3
@obsdmd: Obsidian 0.9.1 is here!
We COMPLETELY REVAMPED the graph view.
• Show arrows
• See tags, attachments, orphans, and more
• Tweak various forces for the best layout for your notes
• Toggle in/out links for local graph
• Keyboard navigation
Download: https://t.co/fvXVH4smwg https://t.co/ijykgZCShk
We COMPLETELY REVAMPED the graph view.
• Show arrows
• See tags, attachments, orphans, and more
• Tweak various forces for the best layout for your notes
• Toggle in/out links for local graph
• Keyboard navigation
Download: https://t.co/fvXVH4smwg https://t.co/ijykgZCShk
Intelligent Code Art by @jetbrains. C'est tellement plus beau lorsque c'est inutile. https://t.co/9SrwWDzPys #generative https://t.co/dHPDDt6X8H
Not the usual; 3D plots with raytracing using R. https://t.co/7Owcq4IcFT #RStats #dataviz https://t.co/i942CZtqli
Meet Code With Me – a tool for collaborative development by @jetbrains. https://t.co/6XkH6ePZf3 #programming https://t.co/581SeU3AHb
Introducing visx from Airbnb. A collection of expressive, low-level data visualization primitives for React. https://t.co/3PnAwXlstD #dataviz https://t.co/bS2RKV51k3
TheOrbifold Retweeted
TensorFlow@TensorFlowTensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.
Total Tweets1.38K
Followers264.88K
Following99
@TensorFlow: ☝ We have a recommendation for that
Introducing TensorFlow Recommenders, an open-source package that makes building, evaluating, and serving recommender models easy. Find recommendations for movies, restaurants, and much more!
Get started → https://t.co/ydGyCZgMxT https://t.co/8u7KYnGSsv
Introducing TensorFlow Recommenders, an open-source package that makes building, evaluating, and serving recommender models easy. Find recommendations for movies, restaurants, and much more!
Get started → https://t.co/ydGyCZgMxT https://t.co/8u7KYnGSsv
Dnotebook: Jupyter notebook but for JavaScript rather than Python. https://t.co/h4f0z6noW9 https://t.co/BJvpJBTWFj
Danfo.js is an open-source, JavaScript library providing high-performance, and easy-to-use data structures for manipulating and processing structured data. It's inspired by the Pandas library and provides a similar interface and API. https://t.co/POHoL3L335 #MachineLearning https://t.co/DSpWllZu6u
What Happened When I Leaked My Server Password on https://t.co/zFiJQOiqqC. https://t.co/9FqfvHblwv https://t.co/tSwp103PbI
Using networks to predict Covid-19 cases in R. #DataScience #rstats https://t.co/2xtwEoKJma https://t.co/AOlVA23wR8
TheOrbifold Retweeted
LynxKite@LynxKiteThe Complete Graph Data Science Platform, now open-source!
Total Tweets43
Followers615
Following18
@LynxKite: After 6 years of in-house development and use, LynxKite is now open-source. Graph analytics has never been so easy or so FREE!
Website: https://t.co/wPRxI55fOl
GitHub: https://t.co/MQV5ix7F7p
Press release: https://t.co/jgyzCAkGec https://t.co/p5qcsNWSVI
Website: https://t.co/wPRxI55fOl
GitHub: https://t.co/MQV5ix7F7p
Press release: https://t.co/jgyzCAkGec https://t.co/p5qcsNWSVI
Streamlit’s open-source app framework is the easiest way for data scientists and machine learning engineers to create beautiful, performant apps in only a few hours! All in pure #Python. All for free. https://t.co/E54vJI6yF9 #DataScience https://t.co/H19YXJvzqI
ktrain is a wrapper #TensorFlow (and other libraries) to help build, train, and deploy neural networks and other machine learning models. Inspired by fastai and ludwig, it is designed to make deep learning and #AI more accessible and easier to apply. https://t.co/t4UpnPd15y https://t.co/LLXTD0qmw1
Prodigious speed improvements in TensorFlow.js using a WebAssembly backend with SIMD and multi-threading. https://t.co/iQdZO6EeFy #MachineLearning https://t.co/Fxvi0U5JSQ
AllenAct is a modular and flexible learning framework designed with a focus on Embodied-AI research; tasks, algorithms, reproductions of state-of-the-art models and includes extensive documentation, tutorials, start-up code, and pre-trained models. https://t.co/W9Un5XqAQZ #AI https://t.co/NHZ3pK9XW4
TheOrbifold Retweeted
Hugging Face@huggingfaceSolving NLP one commit at a time!
#BlackLivesMatter
Total Tweets2.38K
Followers34.93K
Following29
@huggingface: Transformers v3.1.0 is out, first pypi release with 💫 PEGASUS, DPR, mBART 💫
📖 New & simpler docs and tutorials
🎤 Dialogue & zero-shot pipelines
⭐️ New encoder-decoder architectures: Bert2GPT2, Roberta2Roberta, Longformer2Roberta, ...
📕 Named outputs: https://t.co/T3WzCt8UmY
📖 New & simpler docs and tutorials
🎤 Dialogue & zero-shot pipelines
⭐️ New encoder-decoder architectures: Bert2GPT2, Roberta2Roberta, Longformer2Roberta, ...
📕 Named outputs: https://t.co/T3WzCt8UmY
xplore is a python package built with Pandas for data scientist or analysts, AI/ML engineers or researchers for exploring features of a dataset in one line of code for quick analysis before data wrangling and feature extraction. #DataScience
https://t.co/YOFwhhjVVk https://t.co/iZIfjRqglO
https://t.co/YOFwhhjVVk https://t.co/iZIfjRqglO
Dataiku 8: Putting the Power of #AI in the Hands of Everyone in the Organization. https://t.co/MlbSMQnYPA https://t.co/4F2lVozINa
Toward a machine learning model that can reason about everyday actions. #AI https://t.co/mFagJG2LHr https://t.co/Ka065uges7
Text Generation from Knowledge Graphs with Graph Transformers. https://t.co/5mECqIbtsz #Graphs #KnowledgeGraph https://t.co/h4BsweD956
TheOrbifold Retweeted
@yworks: Z-ordering is now available in #yEdLive! Although good #diagrams don't have overlapping elements, sometimes it is useful to have it available. 😉
Enjoy the very requested feature while #diagramming in your browser:
https://t.co/Hhr1xKNfT3
#graph https://t.co/1WWWqcoCAH
Enjoy the very requested feature while #diagramming in your browser:
https://t.co/Hhr1xKNfT3
#graph https://t.co/1WWWqcoCAH
TheOrbifold Retweeted
Mykhailo Moroz@Michael_Moroz_Love physics simulations and rendering algorithms.
Total Tweets172
Followers1.40K
Following101
@Michael_Moroz_: Emergence is truly a fascinating thing, one moment you mess with random fluid systems, and the other moment cellular life emerges. Yeah, those things even have a cell structure, idk how that happened, but its amazing. https://t.co/cDnih38ZpZ https://t.co/WRZ1SDqAjO
Funding Priorities. How mathematical physics and #AI continue flirting. In the US at least. https://t.co/oHjrNrKiA4 #physics
Apache OpenWhisk is an open source, distributed Serverless platform that executes functions in response to events at any scale. It manages the infrastructure, servers and scaling using Docker containers. https://t.co/ouCTmz0yAM #FOSS #CloudComputing #swiftlang https://t.co/5JUwrp9Mwu
LIquid: The soul of a new graph database by LinkedIn Engineering. https://t.co/kzRLkZ9p0i #graphs https://t.co/ldtjHGAlNe
Personal knowledge management. Finally somebody did it. Obsidian: a second brain, for you, forever. https://t.co/LzL6sSYNjK @obsdmd #knowledgemanagement https://t.co/IHIlR6MY57
Graph Clustering with Graph Neural Networks by Google Research. https://t.co/cRZGJrxoN0 #graphs #MachineLearning https://t.co/eamotvDeQ1
Build your own #AutoML in Power BI using PyCaret 2.0. https://t.co/CUiEWtNRI7 https://t.co/OeyA0SvzAg
#PyTorch 1.6 Released, @Microsoft Takes over Windows Version https://t.co/1z8rYLEH94 Learning #MachineLearning https://t.co/39a5q0gGdt
Amazon’s open-source tools make embedding knowledge graphs much more efficient https://t.co/ROYCs72N44 #KnowledgeGraph https://t.co/hGQGidyfZU
Network of sounds: new research reveals the magic secret of human networks. https://t.co/JdShgX2w0V #graphs https://t.co/iHzzxBf7oD
