Search Results for "small"
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Showing 574 open source projects for "small"
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PDF Arranger
Small python-gtk application, to merge or split PDFs
PDF Arranger is a small python-gtk application, which helps the user to merge or split PDF documents and rotate, crop and rearrange their pages using an interactive and intuitive graphical interface. It is a front end for pikepdf. PDF Arranger is a fork of Konstantinos Poulios’s PDF Shuffler (see Savannah or Sourceforge). It’s a humble attempt to make the project a bit more active. -
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pytest
Python testing tool for writing better programs
pytest is a mature, full-featured Python testing tool that allows you to easily write small tests, while also being able to scale to support complex functional testing for applications and libraries. pytest has detailed information on failing assert statements, which means there’s no need to remember self.assert names. It uses only plain assert statements due to its detailed assertion introspection. pytest features auto-discovery of test modules and functions; modular fixtures made for small or parametrized long-lived test resources; and a rich plugin architecture of more than 850 external plugins. pytest can immediately run unittest and nose tests suites as well. -
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Simple Evals
Lightweight framework for evaluating large language model performance
simple-evals is a lightweight evaluation framework developed by OpenAI for quickly testing models against small, focused benchmarks. It is designed to help researchers and developers run targeted evaluations without the complexity of large-scale pipelines. By emphasizing simplicity, the framework makes it easy to define new tasks, run evaluations, and interpret results in a reproducible way. It is particularly useful for sanity checks, exploratory research, and comparing performance across different models or configurations. ... -
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100+ Python Projects Challenge
100+ Python Projects Challenge
100+ Python Projects Challenge is a project-based Python learning repository focused on building many small applications and utilities. Instead of only practicing isolated syntax, it encourages learners to apply Python through complete mini-projects. The challenges span practical scripts, beginner applications, automation ideas, games, data tasks, and other hands-on exercises. This makes it useful for users who want to build a portfolio of small programs while reinforcing programming fundamentals. ... -
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Jev Ultrafast
A browser agent with a dynamic, indexed action space
...A policy chooses both an operation and a compatible target in a single network round trip. Supported actions include clicking, typing, selecting, scrolling, waiting, finishing, and reporting that a task is blocked. A small language model is invoked only when text must actually be generated for a typing action. The agent connects to Chrome through Browser Harness and provides an inspector showing elements, probabilities, decisions, and executed actions. Its design avoids site-specific scripts and instead relies on fresh observations of the live page. -
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Cozette
A bitmap programming font optimized for coziness
...Cozette is a 6x13px (bounding box; average 5px character width, 3px descent, 10px ascent, 8px cap height) bitmap font based on Dina, which itself is based on Proggy. It's also heavily inspired by Creep. I absolutely adore Creep, and was using it up until I got a higher-DPI screen for which it was slightly too small. That prompted me to make the bitmap font I always wished existed: Cozette; a small-but-not-tiny bitmap font with great coverage of all the glyphs you might encounter in the terminal. I'm intentionally putting the emphasis on "you" - although Cozette already has all the glyphs I've seen in my CLI tools so far, you might find it's missing a glyph you wish it had. ... -
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SAHI
A lightweight vision library for performing large object detection
A lightweight vision library for performing large-scale object detection & instance segmentation. Object detection and instance segmentation are by far the most important fields of applications in Computer Vision. However, detection of small objects and inference on large images are still major issues in practical usage. Here comes the SAHI to help developers overcome these real-world problems with many vision utilities. Detection of small objects and objects far away in the scene is a major challenge in surveillance applications. Such objects are represented by small number of pixels in the image and lack sufficient details, making them difficult to detect using conventional detectors. ... -
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BudouX
Standalone, small, language-neutral
Standalone. Small. Language-neutral. BudouX is the successor to Budou, the machine learning-powered line break organizer tool. It is standalone. It works with no dependency on third-party word segmenters such as Google cloud natural language API. It is small. It takes only around 15 KB including its machine learning model. It's reasonable to use it even on the client-side. -
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caveman
Why use many token when few token do trick
...Caveman embraces a philosophy of “less is more,” encouraging developers to focus on core functionality rather than framework overhead. Its design makes it particularly useful for experimentation, small tools, or proof-of-concept applications. -
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Cactus Needle
26m function call model that runs on incredibly small devices
Needle is an experimental 26-million-parameter function-calling model designed to run on extremely small devices such as phones, watches, glasses, and low-power personal AI hardware. It is based on a Simple Attention Network architecture and was distilled from a much larger model to focus on fast, compact tool-use behavior. The project provides open weights, training details, dataset generation resources, and a playground for testing the model with custom tools. -
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SAM 3D Objects
Models for object and human mesh reconstruction
...Given one RGB image and object masks (for example, from the Segment Anything family), it can generate a textured 3D mesh for each object, including pose and approximate scene layout. The model is specifically designed to be robust in real-world images with clutter, occlusions, small objects, and unusual viewpoints, where many earlier 3D-from-image systems struggle. It supports both single-object and multi-object generation, allowing you to reconstruct entire scenes rather than just isolated items. The repository provides code to run inference, a quickstart demo.py script, and environment setup instructions that connect to hosted checkpoints and configuration files. ... -
12
Bottle
bottle.py is a fast and simple micro-framework for python applications
Bottle is a minimalist web framework for building small web applications and APIs in Python. It is distributed as a single file with no external dependencies, making it perfect for rapid development, prototyping, or embedded use. Despite its small size, Bottle supports routing, templates, request handling, and plugin support, offering a full-featured toolkit in an extremely compact package. -
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x-transformers
A simple but complete full-attention transformer
...Proposes adding learned tokens, akin to CLS tokens, named memory tokens, that is passed through the attention layers alongside the input tokens. You can also use the l2 normalized embeddings proposed as part of fixnorm. I have found it leads to improved convergence when paired with small initialization (proposed by BlinkDL). The small initialization will be taken care of as long as l2norm_embed is set to True. -
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MiniMind-O
A 0.1B Omni model trained from scratch
MiniMind-O is an educational open-source project for building a small end-to-end Omni model from scratch. It extends the MiniMind family by exploring a model that can handle text, audio, and image inputs while producing text and streaming speech outputs. The project is designed to make multimodal AI training more accessible by keeping the model size small enough for ordinary personal hardware. It includes both mini and full training data paths, allowing learners to run a complete workflow quickly or reproduce the released model setup more closely. ... -
15
peewee
A small, expressive orm, which supports postgresql, mysql and sqlite
Peewee is a simple and small ORM. It has few (but expressive) concepts, making it easy to learn and intuitive to use. Peewee will automatically infer the database table name from the name of the class. You can override the default name by specifying a table_name attribute in the inner “Meta” class (alongside the database attribute). To learn more about how Peewee generates table names, refer to the Table Names section. -
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User Scanner
Scan usernames and emails across many platforms from the CLI
...By scanning many platforms in a single command, it simplifies the process of checking account existence and identifying a digital footprint. user-scanner uses a modular architecture where each platform is implemented as a small validator module that determines whether a username exists or is available. -
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TabPFN
Foundation Model for Tabular Data
...Unlike many traditional machine learning workflows that require extensive hyperparameter tuning and training cycles, TabPFN is pre-trained to perform inference directly on tabular datasets. This allows it to generate predictions extremely quickly, often within seconds, while maintaining competitive accuracy on small and medium-sized datasets. The system supports a variety of tabular machine learning tasks and is designed to handle structured datasets commonly found in spreadsheets, databases, and business analytics systems. -
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8mb.local
Ffree local self hosted video compressor webui
...The emphasis is on minimalism and performance, so it runs efficiently on low-power devices like Raspberry Pis or small containers, making it ideal for home labs or edge deployments. 8mb.local can also notify users of offline devices or connection drops through configurable alerts, helping preempt outages before they become serious. -
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AirLLM
AirLLM 70B inference with single 4GB GPU
AirLLM is an open source Python library that enables extremely large language models to run on consumer hardware with very limited GPU memory. The project addresses one of the main barriers to local LLM experimentation by introducing a memory-efficient inference technique that loads model layers sequentially rather than storing the entire model in GPU memory. This layer-wise inference approach allows models with tens of billions of parameters to run on devices with only a few gigabytes of... -
20
furl
The easiest way to parse and modify URLs in Python
furl is a small Python library that makes it easier to parse, inspect, build, and modify URLs without relying on tedious low-level URL handling code. It wraps URL components into convenient objects, so developers can work directly with schemes, usernames, passwords, hosts, ports, paths, queries, and fragments. The library supports simple path editing, query argument changes, fragment manipulation, inline method chaining, and URL joining. -
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CuPy
A NumPy-compatible array library accelerated by CUDA
...CuPy is very easy to install through pip or through precompiled binary packages called wheels for recommended environments. It also makes writing a custom CUDA kernel very easy, requiring only a small code snippet of C++. -
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simple-modern-uv
A minimal, modern Python project template
...Because the template is intentionally compact, it’s easy to understand and customize for libraries, CLIs, or small services. It’s a fast way to start new Python projects with modern tooling and guardrails already in place. -
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NeuTTS Air
NeuTTS model built from small LLM backbones
NeuTTS Air is an open-source collection of on-device text-to-speech speech language models from Neuphonic. It is built for natural-sounding voice generation that can run locally instead of relying on a remote web API. The project emphasizes instant voice cloning, real-time performance, and deployment on smaller devices such as phones, laptops, and Raspberry Pi-class hardware. Its LLM-based architecture is intended to bring more expressive and flexible speech generation to local applications.... -
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Pony ORM
Pony Object Relational Mapper
...It automatically translates Python expressions into SQL and supports multiple databases including SQLite, MySQL, PostgreSQL, and Oracle. With an emphasis on simplicity and maintainability, Pony ORM is suitable for both small projects and complex applications. -
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Octop
A smarter, self-hosted AI assistant — multi-user, multi-agent
Octop is a self-hosted, multi-user AI assistant platform built for individuals, families, and small teams. Each user can maintain multiple agents with separate workspaces, providers, channels, schedules, and personalities. A single process serves the web dashboard, command-line interface, messaging integrations, APIs, and scheduled automation. Supported chat surfaces include Feishu, DingTalk, QQ, Discord, WeCom, and the built-in web interface.
