Search Results for "many-body problems"
Sort By:
Showing 255 open source projects for "many-body problems"
View related business solutions-
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
-
1
checkstyle
Development tool to help programmers write standard Java code
...Checkstyle is highly configurable and can be made to support almost any coding standard. An example configuration files are supplied supporting the Sun Code Conventions, Google Java Style. Checkstyle can check many aspects of your source code. It can find class design problems, method design problems. It also has the ability to check code layout and formatting issues. Since Checkstyle 7, some users have been unable to continue upgrading to newer versions of the utility because of the new JDK 1.8 compile requirement. The development team doesn't have the resources to keep updating the utility for older JDKs for those that can't work with the latest version. -
2
XGBoost
Scalable and Flexible Gradient Boosting
...XGBoost works by implementing machine learning algorithms under the Gradient Boosting framework. It also offers parallel tree boosting (GBDT, GBRT or GBM) that can quickly and accurately solve many data science problems. XGBoost can be used for Python, Java, Scala, R, C++ and more. It can run on a single machine, Hadoop, Spark, Dask, Flink and most other distributed environments, and is capable of solving problems beyond billions of examples. -
3
Deep Learning Interviews book
Hundreds of fully solved job interview questions
The interviews.ai repository hosts the open materials for the book Deep Learning Interviews, a comprehensive collection of technical questions and fully solved problems covering many aspects of artificial intelligence. The project was created to help students, researchers, and engineers prepare for machine learning and deep learning interviews by providing structured explanations of key concepts. The repository organizes problems across topics such as neural networks, optimization, probabilistic models, and mathematical foundations of machine learning. ... -
4
Next.js
The React Framework
Next.js is the React framework for lightweight apps, static websites, pre-rendered apps and more. It solves the most common problems associated with building a complete web application with React, such as those involving code bundling and transforming, production automizations, page rendering and having to write server-side code. Next.js offers a best in class “Developer Experience” through such capabilities as pre-rendering, single command static exporting, automatic code-splitting, hot code reloading and many other great features. ... -
Earn up to 16% annual interest with Nexo.Put idle assets to work with competitive interest rates, borrow without selling, and trade with precision. All in one platform. Geographic restrictions, eligibility, and terms apply.
-
5
LeetCode Book
Comprehensive study guide for coding interviews
LeetCode-Book is a comprehensive study guide for coding interviews that consolidates algorithm patterns, data-structure templates, and worked LeetCode solutions. It organizes problems by topic—arrays, linked lists, stacks/queues, trees/graphs, dynamic programming, greedy, backtracking, and math—so you can study systematically. Explanations are concise but intentional, highlighting why a pattern fits, how to reason about boundary cases, and the time/space trade-offs. Many entries include template code and “swap-in” variations, helping you recognize how the same technique adapts across similar problems. ... -
6
Hacks
A collection of hacks and one-off scripts
Many of the tools in the repository are designed for efficiency and simplicity, enabling users to perform complex operations with minimal overhead. It is particularly popular among security researchers and developers who need quick, flexible solutions for niche problems. -
7
SwiftUIKit
SwiftUIKit is a Swift SDK that adds extra functionality to Swift
SwiftUIKit is a Swift SDK that adds extra functionality to SwiftUI and Swift. It contains additional components, a lot of extensions to native types, and much more. SwiftUIKit can kickstart your development and solves many tricky problems. -
8
Kedro
A Python framework for creating reproducible, maintainable code
Kedro is an open sourced Python framework for creating maintainable and modular data science code. Provides the scaffolding to build more complex data and machine-learning pipelines. In addition, there's a focus on spending less time on the tedious "plumbing" required to maintain data science code; this means that you have more time to solve new problems. Standardises team workflows; the modular structure of Kedro facilitates a higher level of collaboration when teams solve problems... -
9
GraphHopper Routing Engine
Open source routing engine for OpenStreetMap
GraphHopper invests in an active open source community. Our flagships are the GraphHopper routing engine and jsprit, the toolkit for solving rich vehicle routing problems. We promote a fair & diverse mindset. jsprit is a Java based toolkit for solving rich traveling salesman problems (TSP) and vehicle routing problems (VRP). It is lightweight, flexible, easy-to-use, and based on a single all-purpose meta-heuristic. The GraphHopper routing engine is fast and memory-efficient, using Java. It runs server side, offline on Android and iOS. ... -
Forever Free Full-Stack Observability | 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.
-
10
Qwen2.5-Math
A series of math-specific large language models of our Qwen2 series
...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 benchmarks and exams; the 72B-Instruct model achieves state-of-the-art results among open source models on many English and Chinese math tasks. -
11
NVIDIA GPU Exporter
Nvidia GPU exporter for prometheus using nvidia-smi binary
Nvidia GPU exporter for prometheus, using nvidia-smi binary to gather metrics. There are many Nvidia GPU exporters out there however they have problems such as not being maintained, not providing pre-built binaries, having a dependency to Linux and/or Docker, targeting enterprise setups (DCGM) and so on. -
12
Pythonic Data Structures and Algorithms
Minimal examples of data structures and algorithms in Python
The Pythonic Data Structures and Algorithms repository by keon is a hands-on collection of implementations of classical data structures and algorithms written in Python. It offers working, often well-commented code for many standard algorithmic problems — from sorting/searching to graph algorithms, dynamic programming, data structures, and more — making it a valuable resource for learning and reference. For students preparing for technical interviews, self-learners brushing up on fundamentals, or developers wanting to understand algorithm internals, this repository provides ready-to-run examples, and can serve as a sandbox to experiment, benchmark, or adapt code. ... -
13
GraphQL for Nest framework
GraphQL (TypeScript) module for Nest framework (node.js)
GraphQL is a powerful query language for APIs and a runtime for fulfilling those queries with your existing data. It's an elegant approach that solves many problems typically found with REST APIs. For background, we suggest reading this comparison between GraphQL and REST. GraphQL combined with TypeScript helps you develop better type safety with your GraphQL queries, giving you end-to-end typing. In this chapter, we assume a basic understanding of GraphQL, and focus on how to work with the built-in @nestjs/graphql module. ... -
14
nanomsg
nanomsg library
The nanomsg library is a simple high-performance implementation of several "scalability protocols". These scalability protocols are lightweight messaging protocols that can be used to solve a number of very common messaging patterns, such as request/reply, publish/subscribe, surveyor/respondent, and so forth. These protocols can run over a variety of transports such as TCP, UNIX sockets, and even WebSocket. This pattern is useful for solving producer/consumer problems, including... -
15
Dillo
Dillo, a multi-platform graphical web browser
Dillo is a lightweight, minimal graphical web browser, designed for speed, low resource usage, and privacy. It is written in C and C++ using the FLTK (Fast Light Toolkit) GUI library. Its goals include enabling web access on old or constrained hardware, using slow or unreliable network connections, minimizing dependencies, and avoiding many of the complexities and overheads of modern full-featured browsers. It omits many modern features (notably JavaScript), instead focusing on rendering... -
16
Zipkin
Distributed tracing system to gather timing data
...The Zipkin UI also presents a Dependency diagram showing how many traced requests went through each application. This can be helpful for identifying aggregate behavior including error paths or calls to deprecated services. Applications need to be “instrumented” to report trace data to Zipkin. -
17
Tinker
Android hot-fix solution library
...It supports dex, So library, and resources, allowing application updates without needing reinstallation. Tinker consists mainly of 3 parts: a gradle compile plugin, a core SDK library, and a command-line version of non-gradle compiled users. There are many other hot-fix solutions just like Tinker, but Tinker overcomes many of the problems that other solutions have. For starters, Tinker offers class, So and resource replacement, something that most other solutions do not. It offers full platform support and gradle support, while being smaller and simpler. -
18
Nevergrad
A Python toolbox for performing gradient-free optimization
Nevergrad is a Python library for derivative-free optimization, offering robust implementations of many algorithms suited for black-box functions (i.e. functions where gradients are unavailable or unreliable). It targets hyperparameter search, architecture search, control problems, and experimental tuning—domains in which gradient-based methods may fail or be inapplicable. The library provides an easy interface to define an optimization problem (parameter space, loss function, budget) and then experiment with multiple strategies—evolutionary algorithms, Bayesian optimization, bandit methods, genetic algorithms, etc. ... -
19
Convex.jl
A Julia package for disciplined convex programming
Convex.jl is a Julia package for Disciplined Convex Programming (DCP). Convex.jl makes it easy to describe optimization problems in a natural, mathematical syntax, and to solve those problems using a variety of different (commercial and open-source) solvers. Convex.jl works by transforming the problem—which possibly has nonsmooth, nonlinear constructions like the nuclear norm, the log determinant, and so forth—into a linear optimization problem subject to conic constraints. This... -
20
LifetimeTracker
Find retain cycles / memory leaks sooner
LifetimeTracker can surface retain cycle/memory issues right as you develop your application, and it will surface them to you immediately, so you can find them with more ease. Instruments and Memory Graph Debugger are great, but too many times, developers forget to check for issues as they close the feature implementation. If you use those tools sporadically many of the issues they surface will require you to investigate the cause and cost you a lot of time in the process. Other tools like FBRetainCycleDetector rely on objc runtime magic to find the problems, but that means they can't really be used for pure Swift classes. ... -
21
Vulcain
Fast and idiomatic client-driven REST APIs
...A reference, production-grade, implementation gateway server is also available in this repository. It's free software (AGPL) written in Go. A Docker image is provided. Current solutions for these problems (GraphQL, JSON:API's embedded resources and sparse fieldsets, etc.) are smart network hacks for HTTP/1. But these hacks come with (too) many drawbacks when it comes to HTTP cache, logs and even security. Fortunately, thanks to the new features introduced in HTTP/2, it's now possible to create true REST APIs fixing these problems with ease. -
22
RenderDoc
RenderDoc is a stand-alone graphics debugging tool
RenderDoc is a free MIT licensed stand-alone graphics debugger that allows quick and easy single-frame capture and detailed introspection of any application using Vulkan, D3D11, OpenGL & OpenGL ES or D3D12 across Windows 7 - 10, Linux, Android, Stadia, or Nintendo Switch™. I work on RenderDoc myself and you can always contact me with any problems or comments. I'll respond to you directly and personally, and I'm used to helping people with private or NDA'd projects. RenderDoc is 100% open... -
23
Daily Interview
Datawhale members have compiled a book covering machine learning
...The project collects a wide range of interview questions related to algorithms, data structures, system design, and core computer science topics commonly tested by technology companies. The repository is organized in a structured format that encourages developers to practice solving problems regularly while building a deeper understanding of underlying concepts. Many of the problems include explanations, references, or links to additional learning resources that help users study relevant theory and improve problem-solving skills. The project is particularly useful for developers preparing for coding interviews at technology companies, as it provides a continuous stream of practice material organized by topic and difficulty level. -
24
PySR
High-Performance Symbolic Regression in Python and Julia
...Symbolic regression works best on low-dimensional datasets, but one can also extend these approaches to higher-dimensional spaces by using "Symbolic Distillation" of Neural Networks, as explained in 2006.11287, where we apply it to N-body problems. Here, one essentially uses symbolic regression to convert a neural net to an analytic equation. Thus, these tools simultaneously present an explicit and powerful way to interpret deep neural networks. -
25
Atlantis iOS
A lightweight and powerful iOS framework for intercepting HTTP/HTTPS
...With Proxyman's native macOS app, you can capture, inspect, and manipulate HTTP(s) traffic with ease. Intuitive, thoughtful, and built with meticulous attention to detail. Dive into the network level to diagnose and fix problems with reliable and powerful tools. Proxyman acts as a man-in-the-middle server that captures the traffic between your applications and SSL Web Server. With a built-in macOS setup, so you can inspect your HTTP/HTTPS Request and Responses in plain text with just one click. Narrow down your search with Proxyman's Multiple Filters. You can combine complex filtered criteria like Protocol, Content-Type, URL, Request Header, Response Header, Body, etc that find exact what you're looking for.
