Popular GitHub Repositories for Markov Chain

Machine learning, in numpy

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

The official GitHub page for the survey paper "A Survey of Large Language Models".

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 ? and reasoning techniques.

LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed.

Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai

The easiest tool for fine-tuning LLM models, synthetic data generation, and collaborating on datasets.

Reasoning in LLMs: Papers and Resources, including Chain-of-Thought, OpenAI o1, and DeepSeek-R1 ?

总结Prompt&LLM论文，开源数据&模型，AIGC应用

UI for your AI. Open Source Tailwind components tailored for your GPT, generative AI, and LLM projects.

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

Optimizing inference proxy for LLMs

Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

No-code multi-agent framework to build LLM Agents, workflows and applications with your data

Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

Gaussian processes in TensorFlow

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.