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  2. File:Encoder self-attention, block diagram.png - Wikipedia

    en.wikipedia.org/wiki/File:Encoder_self...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  3. Dia (software) - Wikipedia

    en.wikipedia.org/wiki/Dia_(software)

    Dia loads and saves diagrams in a custom XML format which is, by default, gzipped to save space. It can print large diagrams spanning multiple pages [4] and can also be scripted using the Python programming language.

  4. FAAC - Wikipedia

    en.wikipedia.org/wiki/FAAC

    FAAC (Freeware Advanced Audio Coder) is a software project which includes the AAC encoder FAAC and decoder FAAD2.It supports MPEG-2 AAC as well as MPEG-4 AAC. It supports several MPEG-4 Audio object types (LC, Main, LTP for encoding and SBR, PS, ER, LD for decoding), file formats (ADTS AAC, raw AAC, MP4), multichannel and gapless encoding/decoding and MP4 metadata tags.

  5. List of Unified Modeling Language tools - Wikipedia

    en.wikipedia.org/wiki/List_of_Unified_Modeling...

    Provides management of actors, use cases, user stories, declarative requirements, and test scenarios. Includes glossary, data dictionary, and issue tracking. Supports use case diagrams, auto-generated flow diagrams, screen mock-ups, and free-form diagrams. clang-uml: Un­known Un­known Un­known Un­known No C++ PlantUML, Mermaid.js

  6. List of open-source codecs - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source_codecs

    VVenC & VVdeC – An open-source encoder and decoder released by Fraunhofer HHI based on the Versatile Video Coding (VVC/H.266) standard available on GitHub. XEVE (the eXtra-fast Essential Video Encoder) MPEG-5 Part 1: Essential Video Coding; XEVD (the eXtra-fast Essential Video Decoder) MPEG-5 Part 1: Essential Video Coding

  7. BERT (language model) - Wikipedia

    en.wikipedia.org/wiki/BERT_(language_model)

    High-level schematic diagram of BERT. It takes in a text, tokenizes it into a sequence of tokens, add in optional special tokens, and apply a Transformer encoder. The hidden states of the last layer can then be used as contextual word embeddings. BERT is an "encoder-only" transformer architecture. At a high level, BERT consists of 4 modules:

  8. Convolutional code - Wikipedia

    en.wikipedia.org/wiki/Convolutional_code

    To convolutionally encode data, start with k memory registers, each holding one input bit.Unless otherwise specified, all memory registers start with a value of 0. The encoder has n modulo-2 adders (a modulo 2 adder can be implemented with a single Boolean XOR gate, where the logic is: 0+0 = 0, 0+1 = 1, 1+0 = 1, 1+1 = 0), and n generator polynomials — one for each adder (see figure below).

  9. libavcodec - Wikipedia

    en.wikipedia.org/wiki/Libavcodec

    Free and open-source software portal; libavcodec is a free and open-source [4] library of codecs for encoding and decoding video and audio data. [5]libavcodec is an integral part of many open-source multimedia applications and frameworks.