rectorch: state-of-the-art recsys approaches implemented in pytorchhttps://t.co/TJnyPXDjZl#deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #pytorch
β PyTorch Best Practices (@PyTorchPractice) May 22, 2020
rectorch: state-of-the-art recsys approaches implemented in pytorchhttps://t.co/TJnyPXDjZl#deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #pytorch
β PyTorch Best Practices (@PyTorchPractice) May 22, 2020
py-pdf-parser: A New Tool for Extracting Information From PDFs https://t.co/FepkrXGHP3
β PyCoderβs Weekly (@pycoders) May 22, 2020
Long-range sequence modeling meets π€ transformers! We are happy to officially release Reformer, a transformer that can process sequences as long as 500.000 tokens from @GoogleAI. Thanks a million, Nikita Kitaev and @lukaszkaiser! Try it out here: https://t.co/GwvMrt9lYk pic.twitter.com/q2HymBrSed
β Hugging Face (@huggingface) May 22, 2020
nbdev is progressively getting magic commands to replace the special comments it currently uses, so you get autocomplete and documentation. All thanks to the hard work of pete88b (on GitHub). pic.twitter.com/xZEMrdylBI
β Sylvain Gugger (@GuggerSylvain) May 22, 2020
Presenting BiT, an open-source approach for large-scale pre-training of models covering a wide range of visual tasks, which highlights the importance of choices in the model architecture for downstream performance. Learn all about it below: https://t.co/WFkuFXMQvz
β Google AI (@GoogleAI) May 21, 2020
Introducing Dash for @ProjectJupyter:https://t.co/3G0rqaJfrg
β plotly (@plotlygraphs) May 20, 2020
To display Dash apps & components inline in Jupyterπ, install with:
π±πͺπ± πͺπ―π΄π΅π’ππ π«πΆπ±πΊπ΅π¦π³-π₯π’π΄π©
Built by Plotly's Chief Scientist, @jonmmease pic.twitter.com/m0WRYsbX3e
So excited about @github Codespaces. You can edit Jupyter Notebooks directly on GitHub, and serve arbitrary web applications on various ports.
β Hamel Husain (@HamelHusain) May 20, 2020
Sign up for the beta if you have not already https://t.co/5dcWVgcMNh
Here is a demo with fastpages: https://t.co/ZyztbPfZll
"SymJAX is a symbolic programming version of JAX that simplifies graph input/output/updates and provides additional functionality for general machine learning and deep learning applications."https://t.co/elm3tJOQVw
β π©βπ» DynamicWebPaige @ 127.0.0.1 π (@DynamicWebPaige) May 20, 2020
...and it has a great logo: pic.twitter.com/5Eg9g66ctU
Use @plotlygraphs Dash, @rapidsai, and #Datashader to build interactive #dataviz dashboards that render large scale datasets of 300 million+ rows using #GPUs. Walkthrough how we made a demo using #Census data. https://t.co/yQ5s4bUaGc
β RAPIDS AI (@rapidsai) May 19, 2020
My new AI text generation package, aitextgen, is here! Based on @huggingface Transformers and @PyTorchLightnin, it finetunes GPT-2 based AIs faster and generates faster with even more control over the resulting text! https://t.co/ZlrFdyzAb0
β Max Woolf (@minimaxir) May 18, 2020
Hey all - we have been hard at work with a *big* re-write of Jupyter Book. The new version is in pre-release right now, please give it a shot and give feedback!
β Chris Holdgraf (@choldgraf) May 15, 2020
docs: https://t.co/T2nEPP56NL
repo: https://t.co/Ki1mS2Gf2y
more to come ;-) pic.twitter.com/Cw4u4g9cB4
Text-to-speech systems across the industry typically rely on GPUs or specialized hardware to generate state-of-the-art speech in real-time production. We solved core efficiency challenges to process 1 second of audio in 500 milliseconds β using only CPUs. https://t.co/qBMXIjOT0y
β Facebook AI (@facebookai) May 15, 2020