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🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Making large AI models cheaper, faster and more accessible
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Open Source DeepWiki: AI-Powered Wiki Generator for GitHub/Gitlab/Bitbucket Repositories. Join the discord: https://discord.gg/gMwThUMeme
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A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Fast and Accurate ML in 3 Lines of Code
A python library for user-friendly forecasting and anomaly detection on time series.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.5, GPT-OSS, Llama, and more!
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
CodeGeeX2: A More Powerful Multilingual Code Generation Model
A Python scikit for building and analyzing recommender systems
Superduper: End-to-end framework for building custom AI applications and agents.
OpenClaw-RL: Train any agent simply by talking
"OpenSpace: Make Your Agents: Smarter, Low-Cost, Self-Evolving" -- Community: https://open-space.cloud/
[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Out-of-the-box (OOTB) GUI Agent for Windows and macOS
AutoChain: Build lightweight, extensible, and testable LLM Agents
[CVPR 2025] Open-source, End-to-end, Vision-Language-Action model for GUI Agent & Computer Use.
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
A set of tools that gives agents powerful capabilities.
Examples for https://github.com/optuna/optuna
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
GANs for time series generation in pytorch