Search Results for "without code" - Page 26
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Showing 1956 open source projects for "without code"
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TextFSM
Python module for parsing semi-structured text into python tables
...It is particularly useful for extracting structured data from command-line interface (CLI) outputs, such as those from network devices, routers, and switches. By defining parsing logic through reusable template files, TextFSM transforms unstructured text into structured data like lists or tables without requiring complex regular expression code. Each template defines states, transitions, and regex patterns that determine how to interpret text line by line, enabling precise extraction of key information from varied sources. This modular approach allows users to maintain a library of templates for different data formats, improving automation in network operations and system administration. ... -
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vJEPA-2
PyTorch code and models for VJEPA2 self-supervised learning from video
VJEPA2 is a next-generation self-supervised learning framework for video that extends the “predict in representation space” idea from i-JEPA to the temporal domain. Instead of reconstructing pixels, it predicts the missing high-level embeddings of masked space-time regions using a context encoder and a slowly updated target encoder. This objective encourages the model to learn semantics, motion, and long-range structure without the shortcuts that pixel-level losses can invite. The... -
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Easegress
A Cloud Native traffic orchestration system
The Easegres (formally known as Ease Gateway) helps to enlarge the availability and stability, also can improve the performance without changing a line of code. It also can smoothly support rapid business growth without re-arch the whole system. Easegress can be a typical seven-level API Gateway, it also can be a side-car to be a Service Mesh, and Easegress can perfectly work with other software to ship powerful features, such as: Kubernetes Ingress, Knaitve FaaS, and Eureka/Consul/Etcd/Nacos and so on. ... -
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AWS Neuron
Powering Amazon custom machine learning chips
...Using Neuron developers can easily train their machine learning models on any popular framework such as TensorFlow, PyTorch, and MXNet, and run it optimally on Amazon EC2 Inf1 instances. You can continue to use the same ML frameworks you use today and migrate your software onto Inf1 instances with minimal code changes and without tie-in to vendor-specific solutions. Neuron is pre-integrated into popular machine learning frameworks like TensorFlow, MXNet and Pytorch to provide a seamless training-to-inference workflow. It includes a compiler, runtime driver, as well as debug and profiling utilities with a TensorBoard plugin for visualization. -
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tsup
The simplest and fastest way to bundle your TypeScript libraries
tsup is a zero-config TypeScript/JavaScript bundler focused on developer speed and sensible defaults. It builds on extremely fast tooling under the hood to deliver near-instant feedback loops even in large monorepos. The design goal is to let you publish modern libraries without hand-crafting long build scripts: point it at an entry file and it emits multiple targets, formats, and type declarations. It handles common library needs out of the box—like generating both ESM and CJS, bundling... -
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type-fest
A collection of essential TypeScript types
...It provides types like Except, Merge, LiteralUnion, Writable, Promisable, PartialDeep, JsonObject, and many others that solve everyday typing needs in complex TypeScript codebases. Developers pull in just the types they need, which makes code more expressive and safer without reinventing tricky type logic. Because many of the types in type-fest are things “that should have been built-in,” it’s widely adopted across TypeScript projects that need more advanced static typing capabilities. The package is modular, well documented, and regularly maintained to stay compatible with evolving TypeScript versions and features. ... -
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TensorFlow Serving
Serving system for machine learning models
TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. It deals with the inference aspect of machine learning, taking models after training and managing their lifetimes, providing clients with versioned access via a high-performance, reference-counted lookup table. TensorFlow Serving provides out-of-the-box integration with TensorFlow models, but can be easily extended to serve other types of models and data. The... -
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LangChain for Java
LangChain4j is an open-source Java library
LangChain for Java is an open-source Java framework designed to simplify the development of applications powered by large language models. The library provides a unified API that allows developers to connect Java applications to multiple AI providers and embedding databases without having to implement separate integrations for each service. Its architecture includes abstractions for prompts, chat interactions, document processing, embeddings, and vector storage, enabling developers to build complex AI workflows with minimal boilerplate code. LangChain4j also implements common design patterns used in generative AI systems, such as retrieval-augmented generation pipelines, tool calling, and intelligent agent frameworks. ... -
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Modelence
Modelence is an all-in-one TypeScript platform
...It positions itself as a Supabase-style experience tailored toward MongoDB-centric development, bundling common backend needs like authentication, database integration, and observability into a cohesive framework. The project is built to support modern application workflows where product teams want to move quickly without stitching together many separate services and libraries. It includes scaffolding and tooling to create a new application quickly, then run a local development server with a predictable structure that’s easy to extend. Modelence also focuses on “standard features” that most apps require, so developers can spend more time on product logic rather than setup and glue code. -
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MongoDB Rust Driver
The official MongoDB Rust Driver
The MongoDB Rust Driver is a native, idiomatic Rust client for MongoDB that gives systems software and back-end services the ability to interact with MongoDB from safe, performant Rust code. It makes extensive use of Rust’s ownership and type systems to ensure memory safety, thread safety, and predictable performance without garbage collection overhead. The driver supports common MongoDB features like CRUD operations, indexing, aggregations, change streams, and transactions, enabling full use of the database’s capabilities from Rust applications. ... -
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CUDA.jl
CUDA programming in Julia
High-performance GPU programming in a high-level language. JuliaGPU is a GitHub organization created to unify the many packages for programming GPUs in Julia. With its high-level syntax and flexible compiler, Julia is well-positioned to productively program hardware accelerators like GPUs without sacrificing performance. The latest development version of CUDA.jl requires Julia 1.8 or higher. If you are using an older version of Julia, you need to use a previous version of CUDA.jl. This will... -
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RuoYi
The warehouse's SpringBoot-based rights management system
The warehouse's SpringBoot-based rights management system is easy to read and understand, and the interface is simple and beautiful. The core technology uses Spring, MyBatis, and Shiro without any other heavy dependencies. I have always wanted to make a background management system, and I have seen many excellent open source projects but found no suitable ones. So I started to write a background system in my spare time. So there is Zoe. She can be used for all web applications, such as... -
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Rinf
Rust for native business logic, Flutter for flexible and beautiful GUI
Rust for native business logic, Flutter for flexible and beautiful GUI. Rinf is a production-ready framework for creating beautiful and performant cross-platform apps using Flutter and Rust with batteries fully included. Simply add this framework to your app project, and you're all set to write Flutter and Rust together. There are no webviews, web servers, hidden threads, or unnecessary memory copying that might cause performance overhead. This setup acts as a very thin wrapper around Dart... -
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Kweb
A Kotlin web framework
Kweb is designed to make it easy for developers to create modern websites without having to worry about the complexities of communication between the server and the browser. With a unified codebase, you can focus on creating an intuitive and user-friendly interface, rather than spending time on technical details. By streamlining the development process, Kweb makes it easier to build functional and beautiful websites that meet the needs of your users. Kweb is a remote interface for a web... -
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Fusion library
Futuristic Luau for every universe
...Fusion aims to reduce boilerplate code and improve readability by encouraging declarative programming patterns. -
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AutoViz
Automatically Visualize any dataset, any size
AutoViz is a Python data visualization library designed to automate exploratory data analysis by generating multiple visualizations with minimal code. The primary goal of the project is to help data scientists and analysts quickly understand patterns, relationships, and anomalies within datasets without manually writing complex plotting code. With a single command, the library can automatically generate dozens of charts and graphs that reveal insights into the structure and quality of the data. ... -
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Agentless
An agentless approach to automatically solve software development
Agentless is an open-source framework that applies large language models to automatically resolve software development issues without relying on complex autonomous agent systems. 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. ... -
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Agent Lightning
The absolute trainer to light up AI agents
...The project emphasizes minimalist integration, so you can drop this into existing systems without extensive rewrites, focusing instead on iterative performance improvement. -
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Linenoise
A small self-contained alternative to readline and libedit
...The code is compact (around 850 lines excluding comments) and designed for minimal footprint embedding into other projects (like CLI tools) that need line editing but don’t want the complexity of linking large libraries. -
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phpunit/php-timer
Utility class for timing
...It wraps PHP’s underlying timing functions to give consistent start/stop measurements even across different PHP versions and environments. The library’s API is intentionally small so you can drop it into tests, benchmarks, and command-line tools without overhead. Beyond raw seconds, it can format durations into human-readable strings, which is especially handy for reporting test suite performance. It supports multiple timers, letting you measure nested or labeled segments of code independently. Because it is dependency-light and thoroughly battle-tested through PHPUnit usage, it’s a reliable choice for profiling micro-benchmarks and long-running tasks alike. -
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Tunix
A JAX-native LLM Post-Training Library
...It embraces JAX’s strengths—functional programming, jit compilation, and effortless multi-device execution—so experiments scale from a single GPU to pods of TPUs with minimal code changes. The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation, letting practitioners swap components without rewriting the whole stack. Examples and reference configs demonstrate end-to-end runs for common model families, helping teams reproduce baselines before customizing. Tunix also leans into research ergonomics: logging, checkpointing, and metrics are built in, and the code is written to be hackable rather than monolithic. ... -
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Wuffs
Wrangling Untrusted File Formats Safely
Wuffs is a memory-safe, zero-dependency library and domain-specific language for writing high-performance image codecs and related parsers. Instead of trusting ad-hoc C, Wuffs code is compiled to C with strong bounds, integer, and state checks inserted by construction, aiming to eliminate whole classes of security bugs without a heavy runtime. The design prioritizes predictable performance: decoders avoid dynamic allocation by default, return explicit “short read” signals, and run well in streaming or sandbox-free environments. ... -
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JEPA
PyTorch code and models for V-JEPA self-supervised learning from video
JEPA (Joint-Embedding Predictive Architecture) captures the idea of predicting missing high-level representations rather than reconstructing pixels, aiming for robust, scalable self-supervised learning. A context encoder ingests visible regions and predicts target embeddings for masked regions produced by a separate target encoder, avoiding low-level reconstruction losses that can overfit to texture. This makes learning focus on semantics and structure, yielding features that transfer well... -
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DINOv2
PyTorch code and models for the DINOv2 self-supervised learning
...The repository includes code for training, evaluating, and feature extraction, with utilities to run k-NN or linear evaluation baselines to assess representation quality. Pretrained checkpoints cover multiple model sizes so practitioners can trade accuracy for speed and memory depending on their deployment constraints. -
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future
R package: future: Unified Parallel and Distributed Processing in R
The future package in R provides a unified abstraction for asynchronous and/or parallel computation. It allows R expressions to be scheduled for future evaluation, with the result retrieved later, in a way decoupled from the specific backend used. This lets code be written in a way that works with sequential execution, multicore, multisession, cluster, or remote compute backends, without changing the high-level code. It handles automatic exporting of needed global variables/functions, managing of packages, RNG, etc. Automatic detection and export of global objects and functions needed by future expressions, so the user doesn’t need to manage that manually. ...
