Small Language Model tailored for edge devices.
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MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.
The memory layer for Personalized AI.
News and Hackathons for AI Engineers!
Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Flexible Deep Learning Framework in Julia.
ChatGPT Plus extension on all websites.
ChatGPT Plus extension on all websites.
Creates, rewrites or summarizes written content with language models.
Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
An open source robotics benchmark for meta- and multi-task reinforcement learning.
Metorial supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Mexopencv: Collection and a development kit of matlab mex functions for OpenCV library.
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
JARVIS, a system to connect LLMs with ML community.
General technology for enabling AI capabilities w/ LLMs and MLLMs.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
Integrate LLM technology quickly and easily into your apps.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
Deep learning foundations and applications.
C, C++, and Python tools for named entity recognition and relation extraction.
A Julia package for fitting (statistical) mixed-effects models.