Search Results for "format-factory" - Page 2
Sort By:
Showing 777 open source projects for "format-factory"
View related business solutions-
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
Agent Skills
Specification and documentation for Agent Skills
agentskills is the specification and documentation repository for the Agent Skills open format, which defines a standardized way to package capabilities that AI agents can discover and use. A “skill” is treated as a foldered bundle containing instructions, optional scripts, and supporting resources, so agents can reliably apply a workflow or expertise area when it becomes relevant. The central goal is portability: you can write a skill once and reuse it across different agent runtimes and developer tools that implement the format. -
2
Open X-Embodiment
Unified open dataset enabling cross-embodiment learning for robotics
Open X-Embodiment is a large-scale collaborative initiative led by Google DeepMind to unify robotic learning datasets into a consistent and standardized format, simplifying access and usage across the robotics research community. Its primary goal is to make all available open-source robotic data interoperable by representing them using the RLDS (Reinforcement Learning Dataset Structure) episode format. This enables seamless integration for training, evaluation, and model development across diverse robotic tasks and embodiments. ... -
3
MLflow
Open source platform for the machine learning lifecycle
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). -
4
tslearn
The machine learning toolkit for time series analysis in Python
...The three dimensions correspond to the number of time series, the number of measurements per time series and the number of dimensions respectively (n_ts, max_sz, d). In order to get the data in the right format. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
-
5
sticker-convert
Convert (animated) stickers to/from WhatsApp, Telegram, Signal
...The tool supports batch conversion, making it efficient for handling entire sticker collections. It is particularly useful for users and developers who want to migrate or reuse sticker assets across platforms. The project automates resizing, format conversion, and packaging requirements. Its design prioritizes ease of use and compatibility with popular messaging ecosystems. It enables seamless sharing and reuse of creative assets. -
6
Faker for Python
Python package that generates fake data for you
...Please see the extended docs for more details, especially if you are upgrading from version 2.0.4 and below as there might be breaking changes. This package was also previously called fake-factory which was already deprecated by the end of 2016, and much has changed since then, so please ensure that your project and its dependencies do not depend on the old package. -
7
MLX-Audio
A text-to-speech, speech-to-text and speech-to-speech library
...The project provides a straightforward CLI (mlx_audio.tts.generate) as well as a Python API for programmatic generation of audio, including parameters for voice choice, speed, language hints, output format, and sample rate. It includes examples such as audiobook generation to demonstrate long-form synthesis and joined audio segments. On top of that, MLX-Audio offers a modern web interface powered by FastAPI, with real-time waveform and 3D visualizations, file upload, and audio management. -
8
PasteMD
Paste Markdown and AI responses into Word Excel instantly fast
...With a single global hotkey, users can paste structured content directly into the active application without manual cleanup or reformatting. It includes intelligent detection mechanisms that distinguish between Markdown tables, rich HTML content, and plain text, ensuring the correct output format is used for each target application. PasteMD also introduces extensible workflows that allow users to configure different paste behaviors. -
9
cloud-morph
Decentralize, Self-host Cloud Gaming/Application
cloud-morph is a cloud-based media processing service that enables real-time video and audio transformation using FFmpeg in scalable environments. It is designed to run as a backend service that processes media streams or files and applies transformations such as transcoding, filtering, and format conversion. The system supports API-driven workflows, allowing integration into web applications or automation pipelines. It leverages containerization and distributed architecture to handle workloads efficiently across multiple nodes. cloud-morph focuses on flexibility, enabling users to define custom processing pipelines for different media scenarios. ... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
10
Instagram OSINT Tool
Instagram OSINT tool for gathering profile data and public posts
InstagramOSINT is an open source intelligence (OSINT) tool designed to collect publicly accessible information from Instagram profiles. It retrieves details that are not always easily visible when browsing an Instagram account normally, allowing investigators, researchers, and developers to gather structured data about a target profile. It works by scraping publicly available profile information and extracting metadata from Instagram pages using Python. It collects various attributes such as... -
11
PyMongo
PyMongo - the Official MongoDB Python driver
The PyMongo distribution contains tools for interacting with MongoDB database from Python. The bson package is an implementation of the BSON format for Python. The pymongo package is a native Python driver for MongoDB. The gridfs package is a gridfs implementation on top of pymongo. -
12
OpenVINO Training Extensions
Trainable models and NN optimization tools
...When ote_cli is installed in the virtual environment, you can use the ote command line interface to perform various actions for templates related to the chosen task type, such as running, training, evaluating, exporting, etc. ote train trains a model (a particular model template) on a dataset and saves results in two files. ote optimize optimizes a pre-trained model using NNCF or POT depending on the model format. NNCF optimization used for trained snapshots in a framework-specific format. POT optimization used for models exported in the OpenVINO IR format. -
13
gpt-oss
gpt-oss-120b and gpt-oss-20b are two open-weight language models
...The series includes two main models: gpt-oss-120b, a 117-billion parameter model optimized for general-purpose, high-reasoning tasks that can run on a single H100 GPU, and gpt-oss-20b, a lighter 21-billion parameter model ideal for low-latency or specialized applications on smaller hardware. Both models use a native MXFP4 quantization for efficient memory use and support OpenAI’s Harmony response format, enabling transparent full chain-of-thought reasoning and advanced tool integrations such as function calling, browsing, and Python code execution. The repository provides multiple reference implementations—including PyTorch, Triton, and Metal—for educational and experimental use, as well as example clients and tools like a terminal chat app and a Responses API server. -
14
This tool only changes the file extension, meaning it changes one label for another, such as changing a .jpg to a .txt. Be careful: this is not a converter. So, if you change the label of a file from .jpg to .pdf, the file will still be an image and will not become a PDF. It can be useful for files of the same type. For example, if you have different types of images, you can make your computer see them all as if they were of the same kind.
-
15
Guardrails
Adding guardrails to large language models
Guardrails is a Python package that lets a user add structure, type and quality guarantees to the outputs of large language models (LLMs). At the heart of Guardrails is the rail spec. rail is intended to be a language-agnostic, human-readable format for specifying structure and type information, validators and corrective actions over LLM outputs. We create a RAIL spec to describe the expected structure and types of the LLM output, the quality criteria for the output to be considered valid, and corrective actions to be taken if the output is invalid. -
16
SeedVR2 Upscaler ComfyUI
Official SeedVR2 Video Upscaler for ComfyUI
...Within the ComfyUI ecosystem, the upscaler integrates with existing nodes and pipelines, making it easier to combine with other processing steps such as denoising, color correction, or format conversion. Enthusiasts often use it for workflows ranging from hobby video enhancement to professional content improvement. -
17
Petastorm
Petastorm library enables single machine or distributed training
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code. Petastorm is an open-source data access library developed at Uber ATG. This library enables single machine or distributed training and evaluation of deep learning models directly from datasets in Apache Parquet format. Petastorm supports popular Python-based machine learning (ML) frameworks such as Tensorflow, PyTorch, and PySpark. ... -
18
Mobile Verification Toolkit
Helps with conducting forensics of mobile devices
...If you are concerned with the security of your device please seek expert assistance. Compare extracted records to a provided list of malicious indicators in STIX2 format. Generate JSON logs of extracted records, and separate JSON logs of all detected malicious traces. -
19
YouTube Music Downloader
A simple app to get songs from YouTube in mp3 format with artist name
YouTube Music Downloader is a command-line music downloader written in Python that retrieves audio from YouTube and enriches it with detailed metadata from external sources. It combines tools like yt-dlp and FFmpeg to extract high-quality audio while automatically tagging files with artist name, album, release date, and artwork. The application distinguishes itself by integrating metadata providers such as Spotify and iTunes, ensuring that downloaded tracks resemble properly organized music... -
20
FastFlix
FastFlix is a free GUI for H.264, HEVC and AV1 hardware and software
FastFlix is a graphical user interface for AV1 video encoding that simplifies the process of converting video files into the modern AV1 format. It acts as a frontend for encoding tools such as SVT-AV1 and AOM, allowing users to configure advanced encoding parameters without using the command line. The application focuses on balancing quality and encoding speed, offering presets and tuning options for different use cases. It supports batch encoding, enabling users to process multiple files efficiently. ... -
21
notebooklm-py
Unofficial Python API and agentic skill for Google NotebookLM
notebooklm-py is an unofficial Python API and agent-ready integration layer for Google NotebookLM that exposes NotebookLM functionality through code, the command line, and AI agent workflows. Its goal is to provide programmatic access not just to standard notebook operations, but also to many capabilities that are either limited or unavailable in the web interface, making it especially useful for automation and custom pipelines. The project covers notebook management, source ingestion,... -
22
PyGlossary
A tool for converting dictionary files aka glossaries
A tool for converting dictionary files aka glossaries. The primary purpose is to be able to use our offline glossaries in any Open Source dictionary we like on any OS/device. There are countless formats, and my time is limited, so I implement formats that seem more useful for myself, or for Open Source community. Also diversity of languages is taken into account. Pull requests are welcome. -
23
Linux insides
A book-in-progress about the Linux kernel and its insides
...The repository contains a structured series of chapters that explain low-level topics such as booting, memory management, interrupts, system calls, and synchronization primitives. The project’s stated goal is to share knowledge about Linux kernel internals and related low-level concepts in an accessible narrative format. It is written for readers who already have some familiarity with C and assembly language and want to understand what happens under the hood of Linux. The material is continuously updated as the kernel evolves, reflecting changes in modern kernel versions. Overall, linux-insides is widely regarded as a deep technical learning resource for systems programmers and advanced Linux enthusiasts. -
24
redshift_connector
Amazon Redshift connector for Python
...It can be turned on by using the autocommit property of the connection. The paramstyle for a cursor can be modified via cursor.paramstyle. The default paramstyle used is format. Valid values for paramstyle include qmark, numeric, named, format, pyformat. redshift_connector uses logging for providing detailed error messages regarding IdP authentication. A do-nothing handler is enabled by default as to prevent logs from being output to sys.stderr. -
25
jmap-backup
Back up a Fastmail JMAP mailbox in .eml format
This is a Python program to back up messages from your Fastmail JMAP mailbox.
