Showing 56 open source projects for "encoding"

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  • 1
    Osmosis TTS

    Osmosis TTS

    Text to Speech application with searching capabilities.

    ...Text is displayed in a large window which has configurable fonts and color for users with low vision. Other features include: Saving text as a WAV file, MP3 encoding using LAME mp3 encoder, maintaining a search history, and ability to use and configure standard SAPI TTS voices.
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  • 2
    CRFSharp

    CRFSharp

    CRFSharp is a .NET(C#) implementation of Conditional Random Field

    ...CRF#'s mainly algorithm is the same as CRF++ written by Taku Kudo. It encodes model parameters by L-BFGS. Moreover, it has many significant improvement than CRF++, such as totally parallel encoding, optimizing memory usage and so on. Currently, when training corpus, compared with CRF++, CRF# can make full use of multi-core CPUs and only uses very low memory, and memory grow is very smoothly and slowly while amount of training corpus, tags increase. with multi-threads process, CRF# is more suitable for large data and tags training than CRF++ now. ...
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  • 3

    EZvolve Foundation Classes

    Data types and utility classes for use with evolutionary algorithms.

    EZvolve Foundation Classes is a set of data types and utility classes for use with evolutionary algorithms. Currently implemented support for bit string encoding, populations, fitnesses, fitness functions, probabilities, and probability vectors.
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  • 4
    Concrete Voice is a text to speech program. It can read the time, anounce weather, read text file, save text files to audio files, open any text file (supports all text encoding formats) and many more advance stuff!
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  • 5
    roberta-base

    roberta-base

    Robust BERT-based model for English with improved MLM training

    roberta-base is a robustly optimized variant of BERT, pretrained on a significantly larger corpus of English text using dynamic masked language modeling. Developed by Facebook AI, RoBERTa improves on BERT by removing the Next Sentence Prediction objective, using longer training, larger batches, and more data, including BookCorpus, English Wikipedia, CC-News, OpenWebText, and Stories. It captures contextual representations of language by masking 15% of input tokens and predicting them....
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  • 6
    QwQ-32B

    QwQ-32B

    QwQ-32B is a reasoning-focused language model for complex tasks

    QwQ-32B is a 32.8 billion parameter reasoning-optimized language model developed by Qwen as part of the Qwen2.5 family, designed to outperform conventional instruction-tuned models on complex tasks. Built with RoPE positional encoding, SwiGLU activations, RMSNorm, and Attention QKV bias, it excels in multi-turn conversation and long-form reasoning. It supports an extended context length of up to 131,072 tokens and incorporates supervised fine-tuning and reinforcement learning for enhanced instruction-following capabilities. The model is capable of structured thinking and delivers competitive performance against top models like DeepSeek-R1 and o1-mini. ...
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