We're going to be taking SpeechT5 apart with @juancopi81 in the Hugging Face discord at 17:00CET. Come be a part of the fun! o/ https://
discord.com/events/8795489
62464493619/1074631980232228885
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OPEN SOURCE
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SpeechT5 Deep Dive Workshop on Hugging Face Discord
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GPT Implementation in 60 Lines of NumPy and JAX
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Late to the party but "GPT in 60 Lines of NumPy" / picoGPT is nicely done: https://
jaykmody.com/blog/gpt-from-
scratch/
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– good supporting links/pointers
– flexes some of the benefits of JAX: 1) trivial to port numpy -> jax.numpy, 2) get gradients, 3) batch with jax.vmap
– inferences gpt-2 checkpoints -
TIMM Joins Hugging Face: 500 Models and Growing
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timm, welcome to Hugging Face: https://
github.com/huggingface/py
torch-image-models
… Since @wightmanr joined the team in June, a lot has happened. We're closing in on 500 models on the HF Hub, and the docs live at https://
huggingface.co/docs/timm/index Next Better interop w/ transformers, safetensors, … what else? -
Kangas Open Source Project Installation and GitHub Support
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Kangas is Open Source. You can install and get started with just a few lines of code. Check this and support the project by giving it a star
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Kangas: Explore and Visualize Large-Scale Multimedia Data
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Introducing Kangas a Tool that lets you explore, analyze, and visualize large-scale multimedia data 🚀
— Sumanth (@Sumanth_077) 20 février 2023
It also provides you with an intuitive visual interface for performing complex queries on your dataset.
Check this out: 👇 pic.twitter.com/gNm35N7eZBIntroducing Kangas a Tool that lets you explore, analyze, and visualize large-scale multimedia data It also provides you with an intuitive visual interface for performing complex queries on your dataset. Check this out:
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Open Source Tool for Machine Learning Dataset Analysis and Exploration
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In Machine Learning you will be working with a lot of datasets but Analyzing and Exploring datasets is always a mess. Here is an Open Source tool that lets you display and analyze large and multimedia datasets with a few lines of code. Thread
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Whisper License Discussion and Model Optimization
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Y por cierto, creo que no hace falta explicárselo a alguien que dice estar haciendo un PhD en IA, pero échale un vistazo a la licencia de Whisper si tanto te molesta. Menos criticable aún cuando el modelo que están ofreciendo es una optimización brutal del original.
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CVAT Simplifies Video Dataset Annotation Process
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In this video, we’ll learn how CVAT eases video dataset annotations with the help of some examples.https://t.co/AWWTR9lUHR #annotation #annotationtools #image #imageannotation #cvat #machinelearning #neuralnetwork #objectdetection #deeplearning #computervision #learnopencv pic.twitter.com/jMPU2vRxUY
— Satya Mallick (@LearnOpenCV) 20 février 2023In this video, we’ll learn how CVAT eases video dataset annotations with the help of some examples. https://
youtube.com/watch?v=FLIBzz
qu7hQ
… #annotation #annotationtools #image #imageannotation #cvat #machinelearning #neuralnetwork #objectdetection #deeplearning #computervision #learnopencv -
New Competitions Coming Soon to Hugging Face Platform
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New competitions coming soon: https://
huggingface.co/competitions! Can you guess what's the next competition? 🙂 -
Hugging Face improves hub discoverability with enhanced search
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fixing the pain point of discoverability on the 🤗hub (models/datasets/spaces) at https://t.co/lls8GHC94I https://t.co/jBj3ujVcmI
— Thomas Wolf (@Thom_Wolf) 20 février 2023fixing the pain point of discoverability on the hub (models/datasets/spaces) at http://
hf.co/search