Kronos is an open-source decoder-only foundation model pretrained on financial candlestick (K-line) sequences for market forecasting.
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物
Claudemy: an open-source alternative to Udemy and Coursera. Give Claude a topic, it researches the web and builds a course of 2-minute audio lessons with cited sources. A free Claude Code skill.
Gradio web app for speech recognition, translation, voice cloning, TTS, and dubbing, including YouTube audio extraction and vocal isolation.
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
AutoClip|一个链接,一键出片。开源 AI 视频剪辑桌面工具,将播客、访谈、课程等长视频自动剪成短视频,生成字幕、封面和发布文案,适配抖音、小红书、TikTok、Reels 与 YouTube Shorts。Open-source AI video clipping & content repurposing.
把书、长视频、播客等高价值内容蒸馏成可执行的 Agent Skills(Distill high-value content from books, long-form videos, podcasts, and more into executable Agent Skills)
Chronos: Pretrained Models for Time Series Forecasting
[Public alpha] Probability forecasting protocols, delayed-reward agent rollouts, and verifiable real-world task environments.
AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.
Download and listen to your music, playlists, and podcasts, along with album art and metadata
把多人对谈播客的逐字稿整理成可发布长文的 Agent Skill:换轴成文、人名校准、精简三分之一、去 AI 味自检。An agent skill that turns podcast transcripts into publishable articles.
A benchmark for evaluating LLMs on probabilistic social-event forecasting.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Fast and Accurate ML in 3 Lines of Code
SponsorBlock client for all YouTube TV clients.
Claude Skill: Multi-source content processor for NotebookLM. Supports WeChat articles, web pages, YouTube, PDF, Markdown, search queries → Podcast/PPT/MindMap/Quiz etc.
Scalable and user friendly neural :brain: forecasting algorithms.
Library for Python 3 to communicate with the Google Chromecast.
WFB-NG - the next generation of long-range packet radio link based on raw WiFi radio
This custom component for Home Assistant will add crucial features to your climate-controlling TRV (Thermostatic Radiator Valves) to save you the work of creating automations to make it smart. It combines a room-temperature sensor, window/door sensors, weather forecasts, or an ambient temperature probe to decide when it should call for heat and automatically calibrate your TRVs to fix the imprecise measurements taken in the radiator's vicinity.
KiT: A Foundation Model for Financial Time-Series Forecasting using Diffusion Transformers
Statsmodels: statistical modeling and econometrics in Python
A unified framework for machine learning with time series
A python library for user-friendly forecasting and anomaly detection on time series.
Probabilistic time series modeling in Python
Time series forecasting with PyTorch
Lightning ⚡️ fast forecasting with statistical and econometric models.
NeuralProphet: A simple forecasting package
Transcribe and summarize videos and podcasts using AI. Open-source, multi-platform, and supports multiple languages.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
This repository features an Energy Optimization System (EOS) that optimizes energy distribution, usage for batteries, heat pumps& household devices. It includes predictive models for electricity prices (planned), load forecasting& dynamic optimization to maximize energy efficiency & minimize costs. Founder Dr. Andreas Schmitz (YouTube @akkudoktor)
Broadcast & Cable TV simulator
ARCH models in Python
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
A toolkit for time series machine learning and deep learning
The gPodder podcast client.
Automated Time Series Forecasting
Scalable machine 🤖 learning for time series forecasting.
把中文全渠道内容(抖音 / B站 / 小红书 / 公众号 / X / 播客)采集进个人知识库的 14 个 AI Skill:图文存图、视频转文字稿、字幕优先免 GPU、RSS/YouTube 订阅调度与每日情报简报,附带知识库 MCP server。| Ingest Chinese content into your personal knowledge base — image/video routing, subtitle-first transcription, feed subscriptions with daily digests, and a KB MCP server.
Python Graphical GPS Client Application supporting NMEA, UBX, SBF, UNI, QGC, RTCM3, NTRIP & SPARTN Protocols
Resources about time series forecasting and deep learning.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Weather, tides, the sun, the moon, maps, and a planetarium, in your terminal. The Old Farmer's Almanac meets Minitel.
Paper trading simulator for Polymarket
Ten cooperating AI agents that turn long podcasts into short-form videos, automatically. Free and open source, runs on free AI providers.
无线麦 Windows 版:把小米遥控器 2 Pro、谷歌 Chromecast 遥控器变成远程按键和语音输入工具。支持按键映射、鼠标操作、Quicker,以及搜狗、微信、豆包和 Chatterfly。QQ群:89641716。
Yug: a foundation model for zero-shot probabilistic time-series forecasting
Edit Labs AI — plugin do Claude Code: do link do podcast ao vertical pronto (corte, motion, B-roll, legenda, verificação). Exige Higgsfield.
Cutoff-aware driver ratings and four-pool Formula 1 qualifying predictions (Q2, Q3, Top 3, pole)
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
Cast All The Things allows you to send videos from many, many online sources to your Chromecast.
The machine learning toolkit for time series analysis in Python
Cast macOS and Linux Audio/Video to your Google Cast and Sonos Devices
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
Improved Django model inheritance with automatic downcasting
Topic → 4K narrated video for coding agents. v5.3.0: local TTS (edge free + azure, no external engine), manifest-based Asset Engine, Remotion composition, cost-gated AI generation, Bilibili/YouTube/Xiaohongshu/Douyin/WeChat Channels