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Cybertron: the home planet of the Transformers in Go.
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Julia package for Regularized Discriminant Analysis.
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Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
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Many useful features that aren't part of the main nn package.
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Python library for scalable Bayesian optimisation.
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Reading Wikipedia to answer open-domain questions.
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Python library for experiment metrics logging into simply formatted local files.
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An evolutionary optimization library.
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Feature engineering package with SKlearn like functionality.
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Python library for automated feature engineering.
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A Scala library for constructing probabilistic models.
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Secure zero-knowledge encrypted file sharing (AES-256-GCM in-browser). No account required, MIT licensed, self-hostable, optional link expiry.
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Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.).
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Running large language models on a single GPU for throughput-oriented scenarios. (Archived).
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Drag & drop UI to build your customized LLM flow using LangchainJS.
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Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
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Julia package for Gaussian processes.
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A Chinese segment based on Conditional Random Field.
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Open Bilingual Pre-Trained Model (ICLR 2023).
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Open Bilingual Pre-Trained Model, quantization of ChatGLM-130B, can run on consumer-level GPUs.
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Hyperparameter optimization framework, inspired by Optuna.
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Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
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Creating semantic cache to store responses from LLM queries.
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Library for calculating great circle distance.