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Tweets
TheOrbifold Retweeted
TensorFlow@TensorFlowTensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.
Total Tweets726
Followers156.66K
Following96
@TensorFlow: Over 600 people participated in the #PoweredByTF 2.0 Dev Post Challenge... And today we’re excited to announce our winners!
Check out this blog post to see the results ↓ https://t.co/T51ZjK2NSO
Check out this blog post to see the results ↓ https://t.co/T51ZjK2NSO
Graph networks for champion recommendation (League of Legends). https://t.co/VyTQNdVnhT #MachineLearning #graphs https://t.co/qhseE6m0tC
Fun and lateral 😊. Why #neuralnetworks make me want to have children. https://t.co/4u8YyTAihM https://t.co/EoaxfLDfAP
https://t.co/okSy5Pxpm8 Science Assistant: research discovery and open science with artificial intelligence. https://t.co/52gIY36vZs #AI https://t.co/9Env61AEHb
China has now 219 of the world’s fastest supercomputers. https://t.co/SftutVkqUa https://t.co/KbT2gvGqvX
Story visualization; given a multi-sentence paragraph, the story is visualized by generating a sequence of images, one for each sentence. #AI https://t.co/yCBTIWDNSq https://t.co/lk75R6TvS4
Luna, a new data processing and visualization environment, provides a library of domain-specific components as well as a framework for building new components. Luna focuses on domains related to data processing; IoT, bioinformatics and data science. https://t.co/iUeOjC7l3A https://t.co/PkdAQW6y7Q
An end to end Introduction to GANs to generate manga faces. Smart alternative 👍 https://t.co/D6ZLJwMDZX #AI https://t.co/R7tZS51t4T
Building a computer Mahjong player via deep convolutional neural networks. https://t.co/rurNIViubF #AI https://t.co/UI29T7eDwu
Reinforcement learning: not just for robots and games. https://t.co/E7dL6YGLBk #AI https://t.co/R0SrBKEXX8
Gotta love the title of this article: modeling unknown unknowns with #TensorFlow Probability . https://t.co/Q7pP3bqArU #AI https://t.co/skJDricp4f
Deep reinforcement learning for cyber security. https://t.co/rkuWSksyK2 #reinforcementlearning #AI https://t.co/NvJ2u6IpAJ
TensorNetwork library dramatically accelerates ML and physics tasks. The Perimeter Institute and Alphabet (#Google) X, #AI researchers announced TensorNetwork, which can greatly improve the efficiency of tensor calculations for tensor network algorithms. https://t.co/o1bLHssneJ https://t.co/IQsdkZt9sq
#QuantumComputing comes to Africa through IBM and Wits University. https://t.co/7JQvuu7uRy
Awesome 💥 Voilà turns Jupyter notebooks in standalone web applications. https://t.co/7tfgxWHj9r #DataScience https://t.co/60UrYpqJlK
You’ve heard of 5G, but what about the quantum internet? https://t.co/xdC3X7uhZK #QuantumComputing https://t.co/zpsWtblm9c
PyTorch Hub; discover and publish models to a pre-trained model repository designed for both research exploration and development needs. https://t.co/RFSwEtaUk5 #AI https://t.co/lTqhJJnhlG
Great detailed post on how to build a machine learning model in your browser using #TensorFlow.js. https://t.co/k1QQcHDB8V #AI https://t.co/R4l5EF6Vu2
Microsoft tensorwatch: a debugging and visualization tool designed for deep learning and #reinforcementlearning. https://t.co/e4EX3kq3FS https://t.co/MNS5gxyOB4
Graphs are #5 on Gartner's top data and analytics technology trends for 2019. Just behind explainable #AI. https://t.co/lKzOLVUlF8 #graphs https://t.co/Hr2Z9emIsX
MeshCNN: convolutional neural network for 3D meshes in #PyTorch. https://t.co/6huUDh7Mel #AI https://t.co/6JcHSC39KD
Google ponders the shortcomings of #machinelearning. https://t.co/UIPiUP1p9T https://t.co/V0hGJkowuO
The State of Developer Ecosystem 2019. By @jetbrains. https://t.co/3x30bek20L https://t.co/Z0coyTIs8w
Grover, a state-of-the-art defense against neural fake news. https://t.co/T5ZEaNh4P7 #AI https://t.co/AjRyEWO5lm
STUMPY; a powerful and scalable Python library that can be used for a variety of time series data mining tasks. https://t.co/CNj0fqiYkH #Forecasting #MachineLearning https://t.co/VALyOjFQGu
MLflow, the open source framework for managing #machinelearning experiments and model deployments, has stabilized its API, and reached a version 1.0 milestone, now generally available. https://t.co/BQ9QWMkR4E https://t.co/CgWN7EGKVx
TensorFlow Text: NLP and text processing using #Tensorflow. 👌 https://t.co/WAeCjRBKUi #NLP https://t.co/fbcvbw6F6P
Microsoft Interpret. Fit interpretable models. Explain blackbox #machinelearning. https://t.co/rH64LiUDbI https://t.co/50HCNddcGd
Generate directed acyclic #graphs using deep #reinforcementlearning. This method is capable of generating DAGs with topology satisfying specified criteria in highly sparse reward environments. https://t.co/M3kYShrl7P #AI https://t.co/QoL69QzfQc
Deep learning has a terrible carbon footprint. Training a single #AI model can emit as much carbon as five cars in their lifetimes. https://t.co/kyMcA9ifrZ https://t.co/1rKYIgpH9g
ktrain: a lightweight wrapper for Keras to help train (and deploy) neural networks. https://t.co/yyQDlPjf6d #Python #AI https://t.co/eAfV9CVqCU
TheOrbifold Retweeted
Jesus Rodriguez@jrdothoughtsManaging Partner at https://t.co/r34vZErmbm, Crypto Investor, Author, Speaker, Columnist at https://t.co/QF0TfbhsqX
Total Tweets11.83K
Followers1.98K
Following1.11K
@jrdothoughts: The Emergence of Cooperative and Competitive AI Agents https://t.co/LxXEaN5QF5
MobileNets: open-source models for efficient on-device vision. #AI https://t.co/aoYJ9M8vo8 https://t.co/0mVn38oLK0
Meta Intelligence - Writing programs that write programs. #AI https://t.co/iu6C8TjByD
Amazon Textract uses #machinelearning to automatically extract text and data, including from tables and forms, in virtually any document – with no machine learning experience required. #NLP https://t.co/be0eo3Bmnh
Apple CoreML v3 with support for Keras. Awesome 🚀 https://t.co/FYttKi4m9k #MachineLearning https://t.co/6fYmRP6D0B
Anomaly detection in time series with Facebook Prophet library. https://t.co/zuxPkgsg1q #DataScience https://t.co/YV9EieYvj4
Modern portfolio theory in Python for tracking risk, performance, and optimizing your portfolio. https://t.co/9Vv1cvdmJi #DataScience https://t.co/DgwEbibDmn
Awesome! Architecture & Style: generating floorplans with generative adversarial networks. https://t.co/JPhhH6Mkxc #AI https://t.co/FJ10B9SQ1D
Apple debuts Core ML3 with on-device #machinelearning. https://t.co/uBi5X2WjTM https://t.co/flWvbhWt1d
End to end learning and optimization on #graphs. https://t.co/0Hjx9gpuRH #AI https://t.co/iYz2J3yBqL
A diagrammatic approach to quantum dynamics. https://t.co/mW7aS5LQTZ #QuantumComputing https://t.co/hEJumd0rGe
Medical #AI has a big data problem. The messy reality of medical records tripped up IBM's much-ballyhooed Watson AI system when it was deployed. https://t.co/sERbotVsH0 https://t.co/BIffGcaQ7q
Hands on Graph Neural Networks with #PyTorch & PyTorch Geometric https://t.co/YzPYQKTaXz #graphs https://t.co/Xn4d4Igwxf
Michelangelo Palette: a feature engineering platform at @Uber. #DataScience https://t.co/LBG49RESHz https://t.co/5vdecK2tDo
Few-shot adversarial learning of realistic neural talking head models. Amazing and scary. Mona Lisa now talks. https://t.co/6MY8vMqpri #AI https://t.co/WiRC9nnPDy
With just two images: video interpolation using direct 3D convolutions. https://t.co/svoBSgiLB0 #AI https://t.co/3lDZoH9Dn5
Google #TensorFlow Graphics library for unsupervised deep learning of computer vision models. https://t.co/8ScRB2ONgb #AI https://t.co/2X3tXyayuG
A semi-supervised graph-based approach for text classification and inference. https://t.co/oBOg6bgXCN #graphs #AI https://t.co/qsfLewhfSY
GraphXR: geo-spatial, temporal and relational (#graphs) 3D visualization. Very SciFi. https://t.co/BhIUSkWUzD https://t.co/OVJWIp5FpK
Gravity-inspired graph autoencoders for directed link prediction. https://t.co/frmhLVaXLo #graphs #AI https://t.co/Fkl6dXSsfh
Microsoft’s #AI generates realistic speech with only 200 training samples. https://t.co/11IdvSDGez #AI
Google's Cloud TPU V2 and V3 Pods Are Now Publicly Available in Beta https://t.co/4YnX6sXQGn #AI https://t.co/ViRLmRwYpT
A transformer #chatbot tutorial with #TensorFlow 2.0. https://t.co/UZQ6WWng2e #AI https://t.co/99nCWJLINL
MLflow - A platform for the machine learning lifecycle. Now generally available. https://t.co/K5J6XCcHeE https://t.co/DKeusnykoi
Massive scale anomaly detection framework at PayPal. https://t.co/AH6amsvuXI #DataScience https://t.co/dcEBIc5PpP
A simple but fully functional Python weather app based on the newly released (free) Wolfram Engine. https://t.co/MXh8yfdpAb @WolframResearch https://t.co/wXaSD8FJfG
Facebook released Pythia: an open-source framework for multimodal #AI models. https://t.co/t1USYSiK4w https://t.co/Ive0RVvPfU
Deploying #TensorFlow models with Istio on Kubernetes. https://t.co/ZNSlO0peUx #AI https://t.co/Dfe9YRapHI
Recurrence in biological and artificial neural networks: similarities, differences, and why it matters. https://t.co/8epnFsXgTN #AI https://t.co/1xThzw59s9
@Medium really needs to support LaTeX or some other math system. Articles like this are interesting but an abomination to the eyes. https://t.co/sqd4pRP9R4 https://t.co/ypgqmtwxSn
Latent semantic analysis on #Databricks (Spark). https://t.co/aRtUxobA3C #NLP https://t.co/XM8C9wXcRH
@ocramz_yo Totally 🤣
The #Wolfram Engine is now free for Developers. Took them a while; welcome to the world Stephen. https://t.co/zphiLheJ9t #ComputationalIntelligence https://t.co/aJpqhRM7QK
Translatron: Google’s #AI can now translate your speech while keeping your voice. The stuff of movies. https://t.co/ZsPeznTI0r
Revealing and tragic at the same time. Facebook’s #AI whiz now faces the task of cleaning It up. Sometimes that brings him to tears. https://t.co/47WEcczRle https://t.co/h4lKzU3gqm
Introducing population based training (PBT) for neural networks. https://t.co/HwnVhTjrkR #AI https://t.co/LEWBGvX0Ve
Inferring #JavaScript types using graph neural networks. https://t.co/be1NazClLT #AI https://t.co/Ub56TlOIN7
Google's Translatotron: an end-to-end speech-to-speech translation model. https://t.co/ErRs4kerqW #AI https://t.co/9RbWA4lBot
Simple demonstration that the inability to clone qubits is related to a frozen past. Still, anti-particles travel backwards in time, right? https://t.co/BbS5yfAtFO #QuantumComputing
Little known; you can use (free of charge) all #yFiles layout algorithms inside @cytoscape. https://t.co/QLwe9SlEZG #dataviz #graphs https://t.co/LXc5s3RR6K
Decentralized identity: how #Microsoft and others plan to empower users to own and control personal data https://t.co/AA3u9KtTo8 #blockchain https://t.co/4LBfJa6Nfy
Graph convolutional networks for geometric #DeepLearning https://t.co/rebgmZIjQ7 #AI https://t.co/Vvklsbdxe9
Microsoft has improved Google's BERT model for language understanding. https://t.co/PLoykJQxiQ #NLP #AI https://t.co/uKE2iy57W1
#Microsoft open sourcing Bing search algorithm: a distributed approximate nearest neighborhood search library provides high quality vector index build, search and distributed online serving toolkits for large scale vector search. https://t.co/ihV9vThTDY #MachineLearning https://t.co/y5LrCNdG3y
😱 Ridiculous #MachineLearning publication with as much front+back matter as article body: Human-Centered Approach to Interactive Machine Learning. Publish or perish. https://t.co/8elJkUtj4P
#NeuralNetworks suffer from continuous amnesia. On the problem of continuous learning or learning-as-you-go. https://t.co/fRwufl6MCj #AI https://t.co/bZWHC89gIn
Geometric deep learning is a new field of #machinelearning that can learn from complex data like #graphs and multi-dimensional points. It seeks to apply traditional convolutional neural networks to 3D objects, graphs and manifolds. https://t.co/Nmp5BwiLit #AI https://t.co/ndod27r3c3
Run #DeepLearning containers on AWS with one command. https://t.co/kSSkbZVVsq https://t.co/UpWF9A0MDT
Introduction to Tidyverse, a collection of R packages for #DataScience. https://t.co/wo9hK7SBUu #rstats https://t.co/i9I0XxU7AL
Survival models: analyzing the problem of estimating the time until an event occurs, also known as survival modeling. https://t.co/kZxAgqZjsI #MachineLearning https://t.co/276MqGkODh
Talk to Transformer: a slimmed down version of OpenAI's GPT2. The things that wasn't released because too scary and real. https://t.co/QVbM9sh97z #AI #NLP
Learning to evolve: nice to see an arxiv article written with care. In contrast to the endless papers written under the header 'publish or perish". https://t.co/9Ohd3jJPjF #AI
The unstoppable #tensorflow universe now offers TensorFlow Graphics: learning from synthetic image data. Smart move bypassing the need for massive amounts of real world imagery. https://t.co/QT1fSXR6nN #AI https://t.co/ZYeZA9wj7Y
The surprisingly powerful Orange data miner from @OrangeDataMiner. Both for network analysis and #MachineLearning in general. Some commercial packages are much less fun and useful than this little gem. #graphanalytics https://t.co/QaYn1iHlbC
RubixML: a high-level #machinelearning library that allows you to build programs that learn from data using the #PHP language. https://t.co/Ijzz2ljOGE https://t.co/TJySPQoLy4
Improve mental health and well-being in the workplace: decline in human empathy creates global risks. https://t.co/3ziMbfrUvL #life https://t.co/Z6HRm0wZ0r
Who said #blockchains are scalable, secure and the storage of the future? 😒Hackers steal bitcoins worth $41M from Binance exchange in a single go. https://t.co/DlxwczwMvf https://t.co/139de2oteh
