Popular GitHub Repositories for Long Context Modeling

The Memory layer for AI Agents

? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.

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".

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Bayesian Modeling and Probabilistic Programming in Python

Deep universal probabilistic programming with Python and PyTorch

[NeurIPS 2024 Best Paper][GPT beats diffusion?] [scaling laws in visual generation?] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

The most reliable AI agent framework that supports MCP.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)

Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Build effective agents using Model Context Protocol and simple workflow patterns