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Today, Generative AI takes its next big step forward. Introducing Gen-1: a new AI model that uses language and images to generate new videos out of existing ones. Sign up for early research access: bit.ly/3RxvBZr
Attending Microsoft #ignite2021 ? Well if you are busy, here is our 2021 MS Ignite "Book of News" . Check this link for all the latest updates, features, and releases announced at this Ignite #microsoft Microsoft Security #newrelease2021 #updatenews lnkd.in/gzcVsi5e
Check out this guest blog post from @Scribd on how they rebuilt their on-premise data platform in the cloud with @ApacheAirflow, Databricks and @awscloud. dbricks.co/wp200610a by @agentdero #ApacheSpark
With #MLflow Model Serving, Databricks simplifies the machine learning model lifecycle from the workflow needed to launch new models to updating them with REST endpoints. dbricks.co/wp200625a #DataTeams
databricks.com
MLflow Model Serving Intro and Overview of How It Enables Real-time Machine Learning
Learn more about MLflow Model Serving and how the turnkey solution allows data teams to own the end-to-end lifecycle of a real-time machine learning model.
YOLO v4 released! 🎉🎉 Here is the Tutorial on latest YOLO v4 🚀🚀🚀 A Gentle Introduction to YOLO v4 for Object detection in Ubuntu 20.04 #objectdetection #ubuntu #deeplearning #neuralnetwork #yolo #opencv #imageprocessing #machinelearning #machinevision robocademy.com/2020/05/01/a-g…
Always wanted to follow up on our work on Evolvable- substrate HyperNEAT that can grow the neural architecture over time. Would be great to make an efficient implementation with the now available tools.
Overhyped claims about AI have contributed to past AI winters. @GaryMarcus fears that we could be headed down that same path again. Here's what we can do to stop it. #ai #hype thegradient.pub/an-epidemic-of…
Stealthy AI startup, Groq, makes an initial disclosure of their Tensor Streaming Processor (TSP); a single chip capable of 1 petaOPS, 250 teraFLOPS of compute. #AI #EdgeInference @GroqInc #SoftwareDefinedHardware fuse.wikichip.org/news/3005/groq…
torchvision v0.4.2: Optimized video reader backend This minor release provides up to 6x speedup for video reading using a new backend option. Read more at: github.com/pytorch/vision…
github.com
Release Optimized video reader backend · pytorch/vision
This minor release introduces an optimized video_reader backend for torchvision. It is implemented in C++, and uses FFmpeg internally. The new video_reader backend can be up to 6 times faster compa...
A PyTorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019). github.com/benedekrozembe… @PyTorchPractice @GoogleAI @TensorFlow #DeepLearning #MachineLearning #PyTorch #TensorFlow
This is a massively parallel implementation of graph2vec that I made. It can process millions of graphs in an hour on a desktop machine. github.com/benedekrozembe… #graph2vec #word2vec #MachineLearning #DeepLearning @gensim_py @RadimRehurek @machinelearn_d
I created an implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective (WWW 2019)" with PyTorch. The main idea is neat but a somewhat made up task. github.com/benedekrozembe… @PyTorchPractice @learnpytorch @NetSciPhDs @netscisociety @pythontrending
A PyTorch implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 19). I am really happy to see this paper at @icmlconf nice theory and results. @PyTorchPractice @learnpytorch @PyTorch @NetSciPhDs @DeepLearningHub
If at #iclr2019, consider stopping by @UndefBehavior 's poster on differentiable perturb-and-parse: treating trees as latent variables while relying on differentiable dynamic programming. 11am, Great Hall, BC #16. arxiv.org/abs/1807.09875 #NLProc
This is a lightweight sparsity aware SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information". github.com/benedekrozembe… @NetSciPhDs @funwithnetworks @TheWebConf @SciPyTip #machinelearning #datamining #networkscience #datascience
This is a NetworkX implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019) that I made recently. github.com/benedekrozembe… #MachineLearning #kdd2019 #networkscience @KirkDBorne @net_science @networkspapers @network #datascience
Deep learning improving our sense of the world! A nose by any other name would smell as sweet.
Our research team is using graph neural networks to predict the olfactory properties of molecules, expanding our understanding of smell & odor, with potential applications ranging from odorant synthesis to scent digitization. Learn more at goo.gle/2BvfUM6
Check out this brilliant exhaustive list of Gradient Boosting papers from the last 25 years: github.com/benedekrozembe… compiled by @benrozemberczki —————— #BigData #DataScience #AI #MachineLearning #DataMining #Statistics #Algorithms #Mathematics
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