Repository for Timestral, the time-series foundation model by Mistral AI
In-memory data structure store used as a cache, database, message broker, and vector/document query engine.
Experimental DLSS Multi Frame Generation controls for any supported MFG title on RTX 40 series GPUs
Wrap Antigravity, ChatGPT Codex, Claude Code, Grok Build, Muse Code, Devin as an OpenAI/Gemini/Claude/Codex compatible API service, allowing you to enjoy the free Gemini Series, GPT Series, Grok Series, Claude model through API
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Idm 2025: Complete standalone setup with all configurations pre-loaded, ready to run on your desktop.
Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook
Here is a dlssg for RTX30 Series GPU
Hojo-TTS-Light is a lightweight speech generation model series developed by HojoAI, currently comprising a 0.04B and a 0.08B model.
Whale Girl skin series for DeepSeek Harness. 适用于 DeepSeek Harness 的,鲸鱼娘系列皮肤。
Open source, self-hostable watched list for all your content (movies, tv series, anime, games) with user authentication, modern and clean UI and a very simple setup.
Game Vault by Skitzelles: USB game launcher for Xbox Series X/S Dev Mode with a one-download setup, plus an xemu (original Xbox) port. No games or BIOS files.
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
A cross-platform Electron Desktop App to stream and download any Movie, TV Series or Anime in the World. Zero Ads and Tracking
Chronos: Pretrained Models for Time Series Forecasting
QuestDB is a high performance, open-source, time-series database
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
面向 A 股日K、分钟K与ETF分钟数据的本地量化引擎,集成增量同步、本地缓存、复权、批量查询、回测与指标计算。
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.
Spark-x2.5 open model series. Pushing the Limits of Agentic Capabilities in On-Device Models
OpenRevo - Lightweight Mechrevo Control Center for 40/50 Series Laptops.OpenRevo - 适用于 40/50 系机械革命笔记本的轻量级控制中心 零官方组件依赖,提供更轻、更快、更透明的硬件控制体验
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Fast and Accurate ML in 3 Lines of Code
AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek, Gemini and 300+ models
Scalable and user friendly neural :brain: forecasting algorithms.
Looks and smells like Seerr, does the opposite. A library maintenance tool for Plex, Jellyfin and Emby.
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.
An Awesome List of the latest time series papers and code from top AI venues.
A curated collection of public industrial datasets.
Finathink — Financial Research Optimizer for auditable, point-in-time research, mathematical learning, and constrained portfolio analysis.
KiT: A Foundation Model for Financial Time-Series Forecasting using Diffusion Transformers
Open-source systems monitoring system and time series database that collects metrics, evaluates rules, and triggers alerts.
Scalable datastore for metrics, events, and real-time analytics
A time-series database for high-performance real-time analytics packaged as a Postgres extension
Open-source, self-hosted alerting for metrics, logs, and databases. Includes a built-in AI agent and MCP server.
Statsmodels: statistical modeling and econometrics in Python
📈 A small, fast chart for time series, lines, areas, ohlc & bars
A unified framework for machine learning with time series
A python library for user-friendly forecasting and anomaly detection on time series.
All-in-One Development Tool based on PaddlePaddle
Probabilistic time series modeling in Python
Time series forecasting with PyTorch
Lightning ⚡️ fast forecasting with statistical and econometric models.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
NeuralProphet: A simple forecasting package
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
Reviving the language that brought us the Jak & Daxter Series
Improved version of the X-Ray Engine, the game engine used in the world-famous S.T.A.L.K.E.R. game series by GSC Game World. Join OpenXRay! ;)
Synthetic data generation for tabular data
苹果CMS v10 · MacCMS v10 — 开源内容管理系统:视频 / 分集剧情 / 文章 / 漫画 / 图片 / 网址导航. Open-source PHP CMS for video, articles, manga, images & site navigation.
Terminal interface to find, download, and stream movies, TV shows, and live TV using local media players.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
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
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods