Flexible Deep Learning Framework in Julia.
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MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.
Small Language Model tailored for edge devices.
Application-oriented deep reinforcement learning framework addressing real-world decision problems.
A chat LLM based on the state-space model architecture.
Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.
Distributed linear algebra framework and mathematically expressive Scala DSL.
About helping professional programmers confidently apply machine learning algorithms to address complex problems.
Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
Godot 4.x asset that enables NPCs to interact with players using local LLMs for structured, offline-first learning conversations in games.
Inspired on Private GPT with the GPT4ALL model replaced with the Vicuna-7B model and using the InstructorEmbeddings instead of LlamaEmbeddings.
A data framework for building LLM applications over external data.
LlamaIndex is a data framework for your LLM applications.
Provides a central interface to connect your LLM's with external data.
Psst, kid, want some cheap and small LLMs?
A hub of integrations for LlamaIndex including data loaders, tools, vector databases, LLMs and more.
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.
A Challenging, Contamination-Free LLM Benchmark.
A graph sampling extension library for NetworkX with a Scikit-Learn like API.
Lightly is a computer vision framework for self-supervised learning.
Discover the large language models examples with insights on business adoption, language model training, and influential models.
FastAPI framework to build production-grade LLM applications.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.