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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Track your datasets, code changes, experimentation history, and models.
Track, log, visualize and evaluate your LLM prompts and prompt chains.
Plugin for CMS Adobe Experience Manager (AEM) or Composum Pages helping the editor to create / edit / translate texts.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
OS-agnostic, system-level binary package manager and ecosystem.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Scalable Machine Learning in Scalding.
A curation of awesome tools, documents and projects about LLM Security.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
A Julia package providing a variety of loaders for various NLP corpora.
Teaching LLMs memory management for unbounded context [[demo page]](https://memgpt.ai/) [[arxiv]](https://arxiv.org/abs/2310.08560).
Cybertron: the home planet of the Transformers in Go.
Julia package for Regularized Discriminant Analysis.
A data orchestrator for machine learning, analytics, and ETL.
Creates or edits images with generative models and visual controls.
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.
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
Machine Learning framework for rapid development of Machine Learning and Statistical applications.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.