Search Results for "problem a" - Page 9
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Showing 1768 open source projects for "problem a"
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DSA Bootcamp Java
This repository consists of the code samples, assignments, and notes
DSA Bootcamp Java is an open source educational repository created by Kunal Kushwaha to teach Data Structures and Algorithms (DSA) using Java. It is designed as a structured bootcamp, covering fundamental concepts to advanced problem-solving techniques. The project provides explanations, exercises, assignments, and practice problems, making it useful for both beginners and intermediate learners who want to strengthen their Java and algorithmic skills. The repository is organized into multiple modules that start with Java basics and gradually progress toward arrays, recursion, sorting, searching, linked lists, stacks, queues, trees, graphs, dynamic programming, and other advanced topics. ... -
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MiniCPM4.1
Achieving 3+ generation speedup on reasoning tasks
...The model also supports both dense and sparse attention mechanisms, enabling more efficient computation depending on the selected inference framework. With improved pretraining on longer sequences and enhanced scaling techniques, MiniCPM4.1 delivers better performance in long-context tasks and complex problem solving. -
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DriveLM
Driving with Graph Visual Question Answering
...The project introduces a new paradigm called graph visual question answering that structures reasoning about driving scenes through interconnected tasks such as perception, prediction, planning, and motion control. Instead of treating autonomous driving as a purely sensor-driven pipeline, DriveLM frames it as a reasoning problem where models answer structured questions about the environment to guide decision making. The system includes DriveLM-Data, a dataset built on driving environments such as nuScenes and CARLA, where human-written reasoning steps connect different layers of driving tasks. This design allows models to learn relationships between objects, behaviors, and navigation decisions through graph-structured logic. -
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HuixiangDou
Overcoming Group Chat Scenarios with LLM-based Technical Assistance
HuixiangDou is an open-source large language model assistant designed specifically for technical question answering in group chat environments. The project addresses a common problem in developer communities where discussion channels become overwhelmed by repeated or irrelevant questions. To solve this issue, HuixiangDou implements a multi-stage pipeline that analyzes incoming messages, filters irrelevant conversations, and selectively generates responses when the assistant determines it can provide useful information. ... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Fractals
Fractals is a recursive task orchestrator for agent swarm
...By coordinating these agents through a recursive task decomposition strategy, the system allows large problems to be solved collaboratively by multiple AI processes. The architecture is designed to experiment with large-scale agent coordination and distributed problem solving. -
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AgentBench
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
...Unlike traditional language model benchmarks that focus on static text tasks, AgentBench measures how models perform in interactive environments that require planning, reasoning, and decision-making. The benchmark includes multiple environments that simulate realistic scenarios such as web interaction, database querying, and problem solving tasks. These environments require agents to interpret instructions, take actions, and adapt their strategies based on feedback from the environment. AgentBench also includes an evaluation framework that measures success rates, rewards, and task completion performance across different agent implementations. By testing models across diverse scenarios, the benchmark highlights strengths and weaknesses in reasoning, long-term planning, and tool usage. -
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Ling-V2
Ling-V2 is a MoE LLM provided and open-sourced by InclusionAI
...Trained on more than 20 trillion tokens of high-quality data and enhanced through multi-stage supervised fine-tuning and reinforcement learning, Ling-V2’s models demonstrate strong general reasoning, mathematical problem-solving, coding understanding, and knowledge-intensive task performance. -
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Computer Science Flash Cards
Mini website for testing both general CS knowledge and enforce coding
This repository collects concise flash cards that cover the core ideas of a traditional computer science curriculum with a focus on interview readiness. The cards distill topics like time and space complexity, classic data structures, algorithmic paradigms, operating systems, networking, and databases into short, testable prompts. They are designed for spaced-repetition style study so you can cycle frequently through fundamentals until recall feels automatic. Many cards point at canonical... -
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GSY Flutter Demo
Collection of independent Flutter example components
This repository is a comprehensive showcase of Flutter capabilities through a large set of demos, patterns, and best practices. It includes examples for UI layouts, animations, navigation, networking, state management, and more. The project is often used as a learning playground for developers to see practical implementations of both simple widgets and complex app structures. It demonstrates integrations with APIs, database persistence, and plugin usage, making it a real-world reference app.... -
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.
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Neorg
Modernity meets insane extensibility
...The file format is built to be expressive and easy to parse, which also makes .norg files easily usable anywhere outside of Neorg itself. A good way of thinking about Neorg is as a plaintext environment that can be adapted to a variety of use cases. If a problem can be represented using raw text, it can be solved using Neorg. -
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pv-migrate
CLI tool to easily migrate Kubernetes persistent volumes
...However, it is not as simple with PersistentVolumeClaim resources: They are not only metadata, but they also store data in the underlying storage backend. In these cases, moving the data stored in the PVC can become a problem, making migrations more difficult. -
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kube2iam
Provides different AWS IAM roles for pods running on Kubernetes
...IAM roles are attributed through instance profiles and are accessible by services through the transparent usage by the aws-sdk of the ec2 metadata API. When using the aws-sdk, a call is made to the EC2 metadata API which provides temporary credentials that are then used to make calls to the AWS service. The problem is that in a multi-tenanted containers based world, multiple containers will be sharing the underlying nodes. Given containers will share the same underlying nodes, providing access to AWS resources via IAM roles would mean that one needs to create an IAM role which is a union of all IAM roles. This is not acceptable from a security perspective. -
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NeuralOperators.jl
DeepONets, Neural Operators, Physics-Informed Neural Ops in Julia
...It learns an operator, which is a mapping between infinite-dimensional function spaces. It can be used to resolve partial differential equations (PDE). Instead of solving by finite element method, a PDE problem can be resolved by training a neural network to learn an operator mapping from infinite-dimensional space (u, t) to infinite-dimensional space f(u, t). Neural operator learns a continuous function between two continuous function spaces. The kernel can be trained on different geometry, which is learned from a graph. Fourier neural operator learns a neural operator with Dirichlet kernel to form a Fourier transformation. ... -
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MTEB
MTEB: Massive Text Embedding Benchmark
...It is unclear whether state-of-the-art embeddings on semantic textual similarity (STS) can be equally well applied to other tasks like clustering or reranking. This makes progress in the field difficult to track, as various models are constantly being proposed without proper evaluation. To solve this problem, we introduce the Massive Text Embedding Benchmark (MTEB). MTEB spans 8 embedding tasks covering a total of 58 datasets and 112 languages. Through the benchmarking of 33 models on MTEB, we establish the most comprehensive benchmark of text embeddings to date. We find that no particular text embedding method dominates across all tasks. ... -
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Refine
Build your React-based CRUD applications, without constraints
...It doesn’t ship with any pre-styled components or UI by default. Instead, you can use any custom design or UI framework for 100% control over styling. Not ready for going headless yet? No problem. Refine supports four powerful UI frameworks out-of-the box. Refine is a React-based framework for the rapid development of web applications. It eliminates repetitive tasks demanded by CRUD operations and provides industry-standard solutions for critical parts like authentication, access control, routing, networking, state management, and i18n. ... -
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OpenSumi
A framework helps you quickly build Cloud or Desktop IDE products
...Customize the UI design in any way you like, no matter to simply configure the built-in UI, or develop a UI template, or build your own UI through plugins. OpenSumi framework aims to solve the redundant building problem of IDE product development within Alibaba, endeavours to fulfill IDE customization capabilities in more vertical scenarios and implement the shared underlying layer of Web and local clients, so that IDE development can move from the early "slash-and-burn" era to the "machine-based mass production" era. -
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electricityMap
A real-time visualisation of the CO2 emissions of electricity
...It should provide a breakdown by generation type. Often fossil fuel generation (coal/gas/oil) is combined under a single heading like 'thermal' or 'conventional', this is not a problem. Citizens should not be responsible for the emissions associated with all the products they export, but only for what they consume. Consumption-based accounting (CBA) is a very important aspect of climate policy and allows assigning responsibility to consumers instead of producers. Furthermore, this method is robust to governments relocating dirty production to neighboring countries in order to green their image while still importing from it. -
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WebExt Redux
A set of utilities for building Redux applications in Web Extensions
...As described in the introduction, there are two pieces to a basic implementation of this package. The dispatches called from UI component will find their way to the background page no problem. The new state from your background page will make sure to find its way back to the UI components. Implement actions whose logic only happens in the background script (we call them aliases). -
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react-big-calendar
gcal/outlook like calendar component
...Also make sure that your calendar's container element has a height, or the calendar won't be visible. Date internationalization and localization is hard and react-big-calendar doesn't even attempt to solve that problem. Instead you can use one of the many excellent solutions already out there, via adapters called "localizers". Big Calendar comes with two localizers for use with Globalize.js or Moment.js. Choose the localizer that best suits your needs, or write your own. Whatever you do, you'll need to set it up before you can use the calendar (you only need to set it up once). -
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PyMC3
Probabilistic programming in Python
...A Gaussian process (GP) can be used as a prior probability distribution whose support is over the space of continuous functions. PyMC3 provides rich support for defining and using GPs. Variational inference saves computational cost by turning a problem of integration into one of optimization. PyMC3's variational API supports a number of cutting edge algorithms, as well as minibatch for scaling to large datasets. -
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AutoMapper
A convention-based object-object mapper in .NET
A convention-based object-object mapper. 100% organic and gluten-free. Takes out all of the fuss of mapping one object to another. AutoMapper is a simple little library built to solve a deceptively complex problem, getting rid of code that mapped one object to another. This type of code is rather dreary and boring to write, so why not invent a tool to do it for us? First, install NuGet. Then, install AutoMapper from the package manager console. AutoMapper is an object-object mapper. Object-object mapping works by transforming an input object of one type into an output object of a different type. ... -
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AG2
Framework for building and orchestrating multi-agent AI systems
AG2 is an open source framework designed to support the creation and coordination of multiple AI agents working together to solve complex tasks. It provides abstractions that allow developers to define agents with distinct roles, responsibilities, and communication patterns, enabling collaborative problem-solving workflows. AG2 focuses on making multi-agent systems more accessible by simplifying how agents are configured, connected, and executed. It includes mechanisms for agent-to-agent interaction, task delegation, and iterative reasoning, which are essential for building advanced AI-driven applications. AG2 is intended for developers experimenting with autonomous systems, research prototypes, or production-grade agent pipelines. ... -
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Poetiq
Reproduction of Poetiq's record-breaking submission to the ARC-AGI-1
poetiq-arc-agi-solver is the open-source codebase from Poetiq that replicates their record-breaking submission to the challenging benchmark suite ARC-AGI (both ARC-AGI-1 and ARC-AGI-2). The project demonstrates a system that orchestrates large language models (LLMs) — like those from major providers — with carefully engineered prompting, reasoning workflows, and dynamic strategies, to tackle the abstract, logic-heavy problems in ARC-AGI. Instead of relying on a single prompt or fixed... -
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Flyde
Visual programming for developers. Includes a VS Code extension
Built on a functional-reactive foundation, Flyde enables more than simple input/output flows. It supports everything you'd expect from a textual-based language; recursions, loops, and conditionals. Unlock new ways to think about, and debug your programs. Have an always-correct diagram of your program. Flyde’s flow-based, visual approach makes asynchronous and concurrent tasks simpler and more intuitive. In Flyde, nothing is hidden. From node implementation to runtime code. Easily access the... -
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Geodesic
Geodesic is a DevOps Linux Toolbox in Docker
Geodesic is a robust Linux toolbox container, crafted to optimize DevOps workflows. This container comes fully loaded with all essential dependencies for a complete DevOps toolchain. It's designed to bring consistency and boost efficiency across development environments. It achieves this without the need for installing additional software on your workstation. Think of Geodesic as a containerized parallel to Vagrant, offering similar functionality within a Docker container context.
