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A Julia package providing a variety of loaders for various NLP corpora.
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Teaching LLMs memory management for unbounded context [[demo page]](https://memgpt.ai/) [[arxiv]](https://arxiv.org/abs/2310.08560).
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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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A data orchestrator for machine learning, analytics, and ETL.
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Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
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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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Machine Learning framework for rapid development of Machine Learning and Statistical applications.
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A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
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A fast Clojure Tensor & Deep Learning library.
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Scalable deep learning for industry with parallel GPUs.
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Deep learning optimization library that makes distributed training easy, efficient, and effective.
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An open source machine learning framework in Rust Δ.
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Train and run a computer vision model with 5-10 lines of code.
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Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
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Deep learning in Rust, with shape checked tensors and neural networks.
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Julia module for Distance evaluation.
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A deep learning-based translation library between 50 languages, built with transformers.
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Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform.
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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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High performance library for time series distances (DTW) and time series clustering.
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Python library for experiment metrics logging into simply formatted local files.