#xtensor search results
Just finished implementing the particle filter algorithm using #xtensor library, it's really great to see how easy it could make writing robotics algorithms, the next algorithm will be Iterative closest point (ICP) 😎
Can we have a #xtensor backend to #tensorly? github.com/tensorly/tenso…
Creating @ApacheArrow array structures in the browser - from C++ thanks to xeus-cling and @ProjectJupyter . Let's see if we can get some cool Arrow things going with #xtensor!
Vectorization of views has landed in #xtensor thanks to the amazing work of @wuoulf and @JohanMabille (yes, this is shameless self-promotion)! Stay tuned for the xmas release, it will be the fastest #xtensor ever!
📄Unleash the potential of xtensor for C++ scientific computing—combining NumPy-like ease with unmatched performance for AI, finance, and healthcare innovations. Dive in: na2.hubs.ly/H01RhL10 #xtensor #ScientificComputing #Cplusplus #AI #MachineLearning
We have released #xtensor 0.21! It comes with many speedups (views, dynamic layout), check them all at github.com/xtensor-stack/… or download the #conda package!
Efficient Array Computing in C++ with xtensor and Apache Arrow" polyglot, poly-framework #DataFabric #ProgrammingModel (beyond "api") #xtensor #ApacheArrow evernote.com/l/AK8d1LNvfCJB…
How does a fft of a multi-dimension array with xtensor fftw work? stackoverflow.com/questions/6913… #fftw #xtensor #cpp
Nice polynomial regression implementation using #xtensor and plotcpp for visualization: github.com/Kolkir/mlcpp/t…
@SylvainCorlay and @wuoulf presenting #xtensor and #xeus_cling at a Python conference! @EuroSciPy #Python #Cpp #OneTensorToRuleThemAll
Trying out Howard Hinnant's #CPP Date library in the @ProjectJupyter notebook. Such a powerful way to quickly explore a new library. Looking forward to use it for #xtensor and #xframe
Are you ready for some interactive #cplusplus with @ProjectJupyter? Join us at the @quansightai open-source directions #webinar on #xtensor! app.livestorm.co/quansight/open…
Unlock advanced scientific computing with Xtensor for C++—a powerful alternative to NumPy! Dive into its features, benefits, and applications in this must-read blog: na2.hubs.ly/H01R0zg0 #ScientificComputing #Xtensor #Innovation
Meet our speaker @SylvainCorlay, @ProjectJupyter core developer, @NumFOCUS director, and founder of @QuantStack. He will talk about #xtensor, and will also moderate the maintainers plenary session. More info and ticket: euroscipy.org/2019/
Pretty good feedback on @wuoulf's presentation about #xtensor, #xeus, and the @QuantStack C++ stack at the Munich C++ Meetup. meetup.com/MUCplusplus.
📄Unleash the potential of xtensor for C++ scientific computing—combining NumPy-like ease with unmatched performance for AI, finance, and healthcare innovations. Dive in: na2.hubs.ly/H01RhL10 #xtensor #ScientificComputing #Cplusplus #AI #MachineLearning
Unlock advanced scientific computing with Xtensor for C++—a powerful alternative to NumPy! Dive into its features, benefits, and applications in this must-read blog: na2.hubs.ly/H01R0zg0 #ScientificComputing #Xtensor #Innovation
No rush, only precision. Xtensor’s launch focuses on purpose-refining its framework, optimizing components, & ensuring resilience. Aligned with #dTAO upgrades, it’s coming soon [4/4] #Xtensor #dTAO $TAO $XAO #Bittensor
Why Xtensor? A protocol-driven framework for decentralized AI compute. Adaptive mining aligns with #dTAO economics. Seamless resources remove barriers - ideal for builders & investors. [3/4] #Xtensor #dTAO $TAO $XAO #Bittensor
Xtensor’s framework. A universal layer for $TAO mining. Seamless compute coordination, multi-subnet efficiency, & ($XAO) incentives empower decentralized AI. Miners, get ready to explore! [2/4] #Xtensor #dTAO $TAO $XAO #Bittensor
Engineering dTAO Mining As Bittensor evolves with #dTAO, mining shifts - demanding scalability, precision, & adaptability. Xtensor meets this head-on. Let’s dive in! A Thread 🧵 [1/4] #Xtensor #dTAO $TAO $XAO #Bittensor #MiningFi
Xτensor redefines decentralized mining on Biττensor with dynamic subnet integration, a scalable framework, and secure infrastructure. Powered by $XAO, it connects miners to scalable intelligence driving TAO innovation block by block. #Xtensor #TAO $XAO #Bittensor #MiningFi
The Future of Bittensor Mining is Loading... ██████████▒▒ 80% The ultimate framework for decentralized #Bittensor mining, powered by $XAO. # Start mining with Xtensor --wallet YOUR_WALLET --compute_provider YOUR_PROVIDER --start #xtensor #dtao $xao $tao
Check out our first X Article! We’re diving deep into how the Xtensor Protocol is transforming mining on @bittensor_ network. Don’t miss it- start exploring now! 🧠 #xtensor $xtao #tao #bittensor #miningfi
Incredible performance and scalability at unmatched rates! We’re proud to integrate with providers like you to power the Xtensor Protocol mining framework, delivering efficient and accessible $TAO mining across all subnets. #Xtensor #XAO #BittensoR
5/5 Prepare yourself to join the Xτensor protocol to unlock seamless $tao mining and become part of the decentralized AI future with $tao The Bitcoin of AI is here, and it’s just the beginning. #xtensor #tao #xao #bittensor #ai
What’s a Subnet? In the Bittensor ecosystem, a subnet is a decentralized network of miners and validators contributing compute power to train LLMs. Each subnet operates independently, optimizing specific #AI tasks while earning $TAO for their contributions. #xtensor #tao $xao
Tired of complex mining setups? Xtensor changes the game. No hardware, no coding, just effortless $TAO mining on Bittensor’s LLM Network. Simplify the process. Maximize the rewards. Be part of the revolution. 🧠 #Xtensor #TAO $XAO #Bittensor
Bittensor unlocks LLM Network opportunities, building AI’s decentralized future. We’re bridging the gap by enabling $TAO mining across all subnets, driving adoption, and fueling the ecosystem. The power of AI meets accessibility 🧠 #xtensor $xao #bittensor
We’re evolving... Xτensor Protocol is no longer limited to Subnet 27 or a single provider. Mining $TAO will now be possible across all subnets, powered by flexible compute solutions. More scalability & more opportunities, full details coming soon. #Xtensor #TAO $XAO #Bittensor
Big changes... We’re reimagining $TAO mining with expanded access to all subnets and support for multiple compute providers. This is just the beginning. Stay tuned as we reveal more details in the coming days. A new chapter is about to start! #Xtensor #TAO #XAO #Bittensor
7/7 Our protocol it’s designed to unlock $TAO ’s full potential Join us as we simplify mining, drive adoption, and reshape decentralized intelligence #Xtensor #TAO #XAO #Bittensor
Thanks to all contributors to this release!! @HSophiaDavies, Guillaume Cordonnier, @AdrienDelsalle and people at @QuantStack for their contribution and advice on the design of the library (also for #xtensor!) It is supported by @GFZ_Potsdam (Jean Braun’s section @GFZ_SurfMod).
It took a long time, but finally I’m glad to announce a new release (re-written from scratch) of Fastscapelib: a core library for landscape evolution modelling Some highlights 🧵 (1/8)
It has 1st-class C++ and Python APIs. Integration with other codes and/or other language bindings (R, Julia, Matlab…) should be easy to add thanks to the #xtensor library that is used for array computing. (3/8)
#xtensor has native support for operations on std::strings ... An intuitive way to learn about broadcasting :)
To try the #xtensor C++ library *live* in a @ProjectJupyter notebook powered by the #cling C++ interpreter, click: beta.mybinder.org/v2/gh/QuantSta…
Building a #xtensor "Wunderbox" for the #JupyterCon talk tomorrow. I guess this also serves as the announcement for the release of version 0.17.2 with performance improvements, bug fixes and an experimental parallelization backend using @intel TBB!
As for #xtensor, we have rich display of #xframe variables in the Jupyter Notebook and JupyterLab !! This makes it very easy to visualize your variable data, and of course, there is support for N-D variables. #ProjectJupyter #Jupyter
@QuantStack 's team is now a team of nomad developers! Hacking #xtensor and #xsimd on a rooftop in Paris.
Check out the updated #xtensor example #jupyter notebook. It is the closest thing to #numpy you will find for the C++ programming language.
At @Polytechnique learning about #xtensor from @JohanMabille (with @SylvainCorlay and @lgouarin)! Good to be back at university!
Activating boost.SIMD in #pythran, and updating to the master branch yields incredible speedups! #xtensor will have to keep catching up for a while longer 😏
Slides of our talk on #xtensor with @JohanMabille at @pydataamsterdam: quantstack.net/talks/2017-04-…
Coding session in Paris with core developers of #dask, #jupyter, #xtensor, #scikitlearn, #shapely, #pandas and more!
Just finished implementing the particle filter algorithm using #xtensor library, it's really great to see how easy it could make writing robotics algorithms, the next algorithm will be Iterative closest point (ICP) 😎
How does a fft of a multi-dimension array with xtensor fftw work? stackoverflow.com/questions/6913… #fftw #xtensor #cpp
Can we have a #xtensor backend to #tensorly? github.com/tensorly/tenso…
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