Search Results for "problem a" - Page 7
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Showing 1768 open source projects for "problem a"
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MediatR
Simple, unambitious mediator implementation in .NET
...Either commands, from Package Manager Console or .NET Core CLI, will download and install MediatR and all required dependencies. MediatR is a low-ambition library trying to solve a simple problem, decoupling the in-process sending of messages from handling messages. Cross-platform, supporting .NET Framework 4.6.1 and netstandard2.0. MediatR has no dependencies. You will need to configure a single factory delegate, used to instantiate all handlers, pipeline behaviors, and pre/post-processors. -
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Kaggle Solutions
Collection of Kaggle Solutions and Ideas
...Because the content is organized by competition categories such as computer vision, natural language processing, tabular data, and time-series forecasting, users can explore techniques relevant to specific problem types. -
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Agentless
An agentless approach to automatically solve software development
...The project proposes an alternative approach to AI-driven code repair that avoids the overhead of multi-agent orchestration by using a structured pipeline for identifying and fixing bugs. When solving a problem, the system first performs localization to determine which files, functions, or code segments are most likely responsible for the issue. It then generates multiple candidate patches for the identified locations using language model reasoning and diff-style edits. In the final stage, the framework validates potential patches by running regression tests and additional reproduction tests to confirm whether the fix resolves the original error. ... -
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Perfect Pixel
Refine and quantize messy AI pixel art into clean, perfect pixels
perfectPixel is a workflow tool for turning messy “pixel-style” images, especially those produced by generative models, into truly grid-aligned pixel art that reads cleanly at any scale. It tackles a common problem with AI pixel art: edges that look pixelated at first glance but are not actually aligned to a coherent pixel grid, which causes shimmer, blur, and uneven block sizes when you zoom in. The tool analyzes an image to infer the intended grid size, then refines and quantizes the artwork so pixels snap into consistent cells and the final result looks crisp and intentional. ... -
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Mathematics Dataset
This dataset code generates mathematical question and answer pairs
...It generates question-and-answer pairs across a wide range of mathematical topics typically found in school-level curricula, testing a model’s ability to reason about algebra, arithmetic, calculus, probability, and more. Each question is programmatically generated with structured templates to ensure clear logic and reproducibility. The dataset enables models to learn mathematical problem-solving through examples that involve both numeric and symbolic reasoning. Version 1.0 includes over 2 million examples per category, with training splits labeled as “easy,” “medium,” and “hard,” supporting curriculum-based learning strategies. The data can be accessed via PyPI or generated locally using provided Python scripts, with outputs formatted for direct use in training or evaluation pipelines. -
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Public Image Mirror
Many images are hosted overseas, such as GCR
The DaoCloud Public Image Mirror project provides a stable and efficient container image acceleration service designed to improve download speeds in regions where access to global registries is slow, such as China. Many popular registries like Docker Hub, GCR, and GHCR are located overseas, often causing significant delays when pulling images. This project solves the problem by offering mirrored registries with consistent image hashes and real-time synchronization. It uses a lazy-loading mechanism, caching image layers in third-party object storage, ensuring that frequently used images are delivered faster. The system is simple to use, requiring only a prefix replacement to pull images from the mirror instead of the original registry. ... -
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Hiring Without Whiteboards
Companies that don't have a broken hiring process
...In this context, "whiteboards" symbolizes outdated or unhelpful computer science trivia questions often criticized in technical interviews. The project highlights organizations that emphasize interviewing techniques more aligned with actual day-to-day work, such as collaborative problem-solving, pair programming, or take-home assignments. It encourages a shift away from brainteasers, riddles, or puzzle-based interviews, which can create unnecessary barriers for candidates. The repository not only provides a resource for job seekers looking for fairer interview processes but also offers guidance for companies seeking to improve their hiring practices. ... -
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Elixir Code Smells
Catalog of Elixir-specific code smells
...Initially compiled via grey literature (blogs, talks, forums), the catalog now includes 23 Elixir-specific smells plus 12 traditional smells adapted to Elixir. Each entry documents the name, category, problem, example, refactoring strategy, and step-by-step treatments. The smells are grouped into two categories: design-related (coarse-grained, harder to detect, affecting architecture/processes) and low-level concerns (fine-grained, often readability and maintainability issues). The catalog evolves with community feedback and contributions, aiming to help developers recognize harmful patterns and apply disciplined refactoring to improve maintainability, testability, and performance in Elixir systems. -
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Prometheus Redis Metrics Exporter
Prometheus Exporter for Redis Metrics. Supports Redis 2.x, 3.x, 4.x, 5
...If authentication is needed for the Redis instances then you can set the password via the --redis.password command line option of the exporter (this means you can currently only use one password across the instances you try to scrape this way. Use several exporters if this is a problem). If your Redis instance requires authentication then there are several ways how you can supply a username (new in Redis 6.x with ACLs) and a password. -
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Fast git handover with mob
Tool for smooth git handover
...When you're done, get your changes into the staging area of the main branch with mob done and commit them. The perfect git handover is quick, requires no talking, and allows the rest of the team to continue discussing how to best solve the current problem undisturbed by the handover. mob is a thin wrapper around git. mob provides only a few environment variables for configuration. mob only uses the Go standard library and no 3rd party plugins. mob provides a copy'n'paste solution if it encounters an error. mob requires the user to do changes in non-wip branches. mob owns its wip branches. ... -
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DALI
A GPU-accelerated library containing highly optimized building blocks
...These data processing pipelines, which are currently executed on the CPU, have become a bottleneck, limiting the performance and scalability of training and inference. DALI addresses the problem of the CPU bottleneck by offloading data preprocessing to the GPU. Additionally, DALI relies on its own execution engine, built to maximize the throughput of the input pipeline. -
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Joda-Time
Replacement for the Java date and time classes prior to Java SE 8
The standard date and time classes prior to Java SE 8 are poor. By tackling this problem head-on, Joda-Time became the de facto standard date and time library for Java prior to Java SE 8. Note that from Java SE 8 onwards, users are asked to migrate to java.time (JSR-310) - a core part of the JDK which replaces this project. The design allows for multiple calendar systems, while still providing a simple API. The “default” calendar is the ISO8601 standard which is used by many other standards. ... -
13
Learn Go with Tests
Learn Go with test-driven development
Katas are fun but they are usually limited in their scope for learning a language; you're unlikely to use goroutines to solve a kata. Another problem is when you have varying levels of enthusiasm. Some people just learn way more of the language than others and when demonstrating what they have done end up confusing people with features the others are not familiar with. This ends up making the learning feel quite unstructured and ad hoc. By far the most effective way was by slowly introducing the fundamentals of the language by reading through go by example, exploring them with examples and discussing them as a group. ... -
14
Appium
Automation for iOS, Android, and Windows Apps
Appium is an open source test automation framework for use with native, hybrid and mobile web apps. It drives iOS, Android, and Windows apps using the WebDriver protocol. Is native app automation missing from your tool belt? Problem solved. Appium is built on the idea that testing native apps shouldn't require including an SDK or recompiling your app. And that you should be able to use your preferred test practices, frameworks, and tools. Appium is an open source project and has made design and tool decisions to encourage a vibrant contributing community. Appium aims to automate any mobile app from any language and any test framework, with full access to back-end APIs and DBs from test code. ... -
15
DeepDetect
Deep Learning API and Server in C++14 support for Caffe, PyTorch
The core idea is to remove the error sources and difficulties of Deep Learning applications by providing a safe haven of commoditized practices, all available as a single core. While the Open Source Deep Learning Server is the core element, with REST API, and multi-platform support that allows training & inference everywhere, the Deep Learning Platform allows higher level management for training neural network models and using them as if they were simple code snippets. Ready for applications... -
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reviewdog
Automated code review tool integrated with any code analysis tools
...It uses any output of lint tools, with translation if required, and posts them as a comment if the file and line are in diff of patches to review. reviewdog also supports running in a local environment to filter the output of lint tools by diff. We can use various linters and static code analysis tools to detect such problems in local machines, editors, CI services. However, here is the problem. Static analysis tools may report false-positive results. Reporting false-positive results itself is ok, but due to the false-positive results we cannot make build fail and it becomes difficult for us to find true positive results from messed up analysis results. -
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Mockito
Most popular Mocking framework for unit tests written in Java
...Mockito 2.25.0 had an important feature added for anyone using mockito-inline. In particular anyone using Kotlin (which demands using mockito-inline) and PowerMock (which exacerbates the problem even more) will want to add this to all of their test classes to avoid a large memory leak. Fancy getting world-wide visibility and building up an eternal fame of an OSS contributor? Use the latest version! Hack and experiment. Speak up at the mailing list. Mockito is a mocking framework that tastes really good. It lets you write beautiful tests with a clean & simple API. ... -
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Qwen2.5-Math
A series of math-specific large language models of our Qwen2 series
Qwen2.5-Math is a series of mathematics-specialized large language models in the Qwen2 family, released by Alibaba’s QwenLM. It includes base models (1.5B / 7B / 72B parameters), instruction-tuned versions, and a reward model (RM) to improve alignment. Unlike its predecessor Qwen2-Math, Qwen2.5-Math supports both Chain-of-Thought (CoT) reasoning and Tool-Integrated Reasoning (TIR) for solving math problems, and works in both Chinese and English. It is optimized for solving mathematical... -
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Talisman
Talisman validates the outgoing changeset
Talisman is a tool that installs a hook to your repository to ensure that potential secrets or sensitive information do not leave the developer's workstation. It validates the outgoing changeset for things that look suspicious - such as potential SSH keys, authorization tokens, private keys etc. Talisman can also be used as a repository history scanner to detect secrets that have already been checked in, so that you can take an informed decision to safeguard secrets. We recommend installing... -
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RecursiveMAS
Offical Implementation for "Recursive Multi-Agent Systems"
RecursiveMAS is an advanced multi-agent AI framework that introduces a recursive collaboration mechanism to improve reasoning and problem-solving across multiple agents. Instead of treating agents as independent units exchanging text outputs, it connects them through a shared latent computation loop, allowing internal “thought states” to be passed and refined iteratively. This recursive structure enables agents to build on each other’s intermediate reasoning, leading to deeper and more coherent solutions. ... -
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agency-agents-zh
193 plug-and-play AI expert roles
...The project appears to explore the concept of agent collaboration, where different agents handle specialized tasks and communicate to achieve broader objectives. It is designed to simulate organizational workflows, enabling complex problem-solving through distributed intelligence rather than a single monolithic model. The system likely includes tools for defining agent roles, managing communication protocols, and orchestrating task execution across agents. Its multilingual or localized orientation suggests it is tailored for specific linguistic or regional use cases, particularly in Chinese-speaking contexts. ... -
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ClawTeam
ClawTeam: Agent Swarm Intelligence (One Command → Full Automation)
...Instead of relying on a single agent, the system allows a leader agent to spawn and coordinate multiple specialized sub-agents, each responsible for different aspects of a problem. These agents communicate, share insights, and dynamically adapt their strategies based on real-time feedback, creating a form of collective intelligence. The framework supports a wide range of use cases, including software development, machine learning research, financial analysis, and content production. It is designed to work with various AI tools and command-line agents, making it highly flexible and extensible. ... -
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Goose AEO
AEO tracking toolkit (CLI + dashboard) built for AI agents like Claude
...The system is designed to be extensible and adaptable, allowing developers to integrate different language models and configure multi-agent workflows tailored to specific use cases. It emphasizes automation of repetitive and complex development tasks, enabling users to focus on higher-level problem solving and innovation. The framework supports both command-line and application-based interfaces, making it accessible in different development environments. It also promotes modularity, allowing users to extend functionality with plugins or custom components. -
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VoxelMorph
Unsupervised Learning for Image Registration
...Traditional image registration techniques typically rely on optimization procedures that must be executed separately for each pair of images, which can be computationally expensive and slow. VoxelMorph approaches the problem using neural networks that learn to predict deformation fields that transform one image so that it aligns with another. Once the model has been trained, it can rapidly compute the transformation required to register new image pairs, significantly reducing computational time compared to classical registration algorithms. The framework supports both supervised and unsupervised learning approaches and is commonly used in medical imaging applications such as MRI alignment, anatomical analysis, and longitudinal studies. -
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TTRL
Test-Time Reinforcement Learning
TTRL is an open-source framework for test-time reinforcement learning in large language models, with a particular focus on reasoning tasks where ground-truth labels are not available during inference. The project addresses the problem of how to generate useful reward signals from unlabeled test-time data, and its central insight is that common test-time scaling practices such as majority voting can be repurposed into reward estimates for online reinforcement learning. This makes the framework especially interesting for scenarios where models must keep adapting during evaluation or deployment instead of relying only on fixed pretraining and static fine-tuning. ...
