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Machine Learning framework for rapid development of Machine Learning and Statistical applications.
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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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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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A data orchestrator for machine learning, analytics, and ETL.
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Julia package for Regularized Discriminant Analysis.
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Cybertron: the home planet of the Transformers in Go.
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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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A Julia package providing a variety of loaders for various NLP corpora.
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A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A curation of awesome tools, documents and projects about LLM Security.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Scalable Machine Learning in Scalding.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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OS-agnostic, system-level binary package manager and ecosystem.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Plugin for CMS Adobe Experience Manager (AEM) or Composum Pages helping the editor to create / edit / translate texts.
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Track, log, visualize and evaluate your LLM prompts and prompt chains.
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Track your datasets, code changes, experimentation history, and models.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open Code LLMs for Code Understanding and Generation.
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A curated list of language modeling researches for code and related datasets.