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Absolute Encoder Vs Incremental Encoder

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S.T.E.M Explorer

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621,863 görüntüleme • 2 ay önce •via X (Twitter)

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Daha önce hiç Absolute Encoder ürününe denk gelmemiştim. Bir video ile inanılmaz bir aydınlanma yaşadım. Benim gibi karanlıkta olanlara gelsin...
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Daha önce hiç Absolute Encoder ürününe denk gelmemiştim. Bir video ile inanılmaz bir aydınlanma yaşadım. Benim gibi karanlıkta olanlara gelsin...

01

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The Vision Encoder: Our Secret Weapon 🔥 An ultra-accurate vision encoder plate, combined with 5μm-resolution optical feedback, calibrates the H2D’s motion system to achieve consistent 50μm accuracy across the entire build plate. #BambuH2D

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manual control of the monster mwir lens achieved. gonna hook into the magnetic end stop + encoder to replace the proprietary Telic Optics board.
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manual control of the monster mwir lens achieved. gonna hook into the magnetic end stop + encoder to replace the proprietary Telic Optics board.

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Modern tech tends to focus on “more”. More data. More bandwidth. More compute. The best software engineering happens in the “less” sphere; codec engineering. Listen to this stream with 90% packet loss. The Opus Encoder team is cracked:

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We introduce TurboEdit -- simple text-based image editing in 1/2 sec! We leverage few-step diffusion models, mapping real images into noise with an encoder. Please see our #ECCV2024 paper: Work w/ Zongze Wu, Nick Kolkin, Jon Brandt, Eli Shechtman 1/
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We introduce TurboEdit -- simple text-based image editing in 1/2 sec! We leverage few-step diffusion models, mapping real images into noise with an encoder. Please see our #ECCV2024 paper: Work w/ Zongze Wu, Nick Kolkin, Jon Brandt, Eli Shechtman 1/

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Autoencoder by hand✍️Excel~ I designed this exercise to show how an Encoder-Decoder network convert input to code and reconstruct input from code. It is annotated with equations, PyTorch, and graphs. 👇Join the 'AI Math' community. Download xlsx.
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Autoencoder by hand✍️Excel~ I designed this exercise to show how an Encoder-Decoder network convert input to code and reconstruct input from code. It is annotated with equations, PyTorch, and graphs. 👇Join the 'AI Math' community. Download xlsx.

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Autoencoder by hand✍️Excel~ I designed this exercise to show how an Encoder-Decoder network convert input to code and reconstruct input from code. It is annotated with equations, PyTorch, and graphs. I also made a medium version.👇Join the 'AI Math' community. Download xlsx.
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Autoencoder by hand✍️Excel~ I designed this exercise to show how an Encoder-Decoder network convert input to code and reconstruct input from code. It is annotated with equations, PyTorch, and graphs. I also made a medium version.👇Join the 'AI Math' community. Download xlsx.

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Protein language models just got an upgrade. Meet Profluent-E1: a free, flexible, frontier protein sequence encoder. E1 is built with retrieval augmentation to learn from multiple sequences. Models trained over 4T tokens with only 150M-600M params, E1 is SOTA for zero-shot functional and unsupervised structural tasks. It raises the bar for protein representation learning and is freely available today.

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THE BEST visual explainer of how information propagates through a transformer. If you want to have more than intuition about how the Transformer architecture is ruling the LLM world - open-source project explains everything about LLM Transformer Models! - A great resource for anyone looking to gain a deeper understanding of how Transformer-based AI models like GPT work, including: - Self-attention mechanisms - Encoder-decoder architecture - Positional encoding - Multi-head attention

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