Search Results for "stack" - Page 5
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421 projects for "stack" with 1 filter applied:
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Build Secure Enterprise Apps Fast with RetoolCreate internal software that meets enterprise security standards. Retool connects to your business data—databases, APIs, and vector stores while ensuring compliance with granular permissions and audit logs. Whether on our cloud or self-hosted, build the dashboards and admin panels your organization needs without compromising on security or control.
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Outgrown Windows Task Scheduler?Windows Task Scheduler wasn't built for complex, cross-platform automation. Get a free diagnostic that shows exactly where things are failing and provides remediation recommendations. Interactive HTML report delivered in minutes.
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Oboe
Oboe is a C++ library that makes it easy to build high-performance
...It supports features like floating-point audio, channel configuration, sample-rate negotiation, and stream sharing to match device capabilities. Example apps and utilities demonstrate best practices for thread priority, audio mixing, and underrun handling. By aligning with the native audio stack, oboe enables professional music apps, real-time communications, and games to achieve consistent audio performance across a wide range of devices. -
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SwiftLog
A Logging API for Swift
...The repo’s release notes and ecosystem links show active maintenance, CI coverage for recent Swift versions, and community-supplied backends. By decoupling the API from any one implementation, swift-log simplifies composition: frameworks can log consistently without dictating the logging stack to end users. It’s a foundational building block for production Swift services, tools, and apps looking for consistent, structured telemetry. -
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FastVLM
This repository contains the official implementation of FastVLM
FastVLM is an efficiency-focused vision-language modeling stack that introduces FastViTHD, a hybrid vision encoder engineered to emit fewer visual tokens and slash encoding time, especially for high-resolution images. Instead of elaborate pruning stages, the design trades off resolution and token count through input scaling, simplifying the pipeline while maintaining strong accuracy. Reported results highlight dramatic speedups in time-to-first-token and competitive quality versus contemporary open VLMs, including comparisons across small and larger variants. ... -
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LLaMA 3
The official Meta Llama 3 GitHub site
...It introduced the public packaging of weights, licenses, and quickstart examples that helped developers fine-tune or run the models locally and on common serving stacks. As the Llama stack evolved, Meta consolidated repositories and marked this one deprecated, pointing users to newer, centralized hubs for models, utilities, and docs. Even as a deprecated repo, it documents the transition path and preserves references that clarify how Llama 3 releases map into the current ecosystem. Practically, it functioned as a bridge between Llama 2 and later Llama releases by standardizing distribution and starter code for inference and fine-tuning. ... -
Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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LLaMA Models
Utilities intended for use with Llama models
This repository serves as the central hub for the Llama foundation model family, consolidating model cards, licenses and use policies, and utilities that support inference and fine-tuning across releases. It ties together other stack components (like safety tooling and developer SDKs) and provides canonical references for model variants and their intended usage. The project’s issues and releases reflect an actively used coordination point for the ecosystem, where guidance, utilities, and compatibility notes are published. It complements separate repos that carry code and demos (for example inference kernels or cookbook content) by keeping authoritative metadata and specs here. ... -
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Profile Data
Analyze computation-communication overlap in V3/R1
profile-data is a repository that publishes profiling traces and metrics from DeepSeek’s training and inference infrastructure (especially during DeepSeek-V3 / R1 experiments). The profiling data targets insights into computation-communication overlap, pipeline scheduling (e.g. DualPipe), and how MoE / EP / parallelism strategies interact in real systems. The repository contains JSON trace files like train.json, prefill.json, decode.json, and associated assets. Users can load them into tools... -
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Hanami
A flexible framework for maintainable Ruby apps
Hanami is a modern Ruby web framework that aims to be lightweight, fast, and modular, in contrast to the monolithic design of Rails. It emphasizes separation of concerns, encouraging developers to structure applications into clear layers of controllers, views, entities, and repositories. Each component—like the router, model layer, or view rendering engine—can be used independently, which gives developers flexibility to build lean applications. Hanami promotes immutability, plain old Ruby... -
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OpenAuth
Universal, standards-based auth provider
...It supports common patterns such as OAuth with popular identity providers, email-based links or codes, and passkeys/passwordless options, while exposing a simple API that fits full-stack frameworks. The project is designed to be infrastructure-friendly, aligning with managed stores and serverless platforms so sessions, webhooks, and callbacks work reliably at scale. It emphasizes secure defaults, including robust token handling, CSRF protections, and clear session lifecycles, while leaving room for customization where apps need it. ... -
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Mach Engine
Zig game engine & graphics toolkit
Mach is a game engine and graphics toolkit written in Zig, built with the goal of enabling high-performance, truly cross-platform 2D, 3D, GUI, and visualization applications. The project aims to deliver a modular, robust foundation where graphics, input, windowing, and rendering are unified under a modern, low-level but ergonomic API. Because Mach is written in Zig (with some shader code / WGSL), it leverages Zig’s performance and modern systems-level features while offering safe-ish... -
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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Top Go Web Frameworks
Web frameworks for Go, most starred on GitHub
go-web-framework-stars is a curated list of popular Go web framework projects ranked automatically by their star counts on GitHub. The repository generates a markdown table that includes each framework’s name, star and fork counts, open issue counts, a short description, and the timestamp of the last commit, making it a quick way to compare ecosystem maturity and activity. It includes well-known frameworks and toolkits such as Gin, Fiber, Beego, Echo, go-zero, chi, Kratos, and many more,... -
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Matcha-TTS
A fast TTS architecture with conditional flow matching
...The model is fully probabilistic, so it can generate diverse realizations of the same text while still sounding stable and intelligible. The repository provides an end-to-end TTS pipeline: a PyTorch/Lightning training stack, configuration files, pre-trained checkpoints, a command-line interface, and a Gradio app for interactive testing. Users can train on standard datasets like LJSpeech or plug in their own corpora, with helper tools for computing dataset statistics, extracting phoneme durations, and running multi-GPU training. -
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Blik
Self hosted & open source anonymous 360 review software
Blik is an open source, self-hosted platform for anonymous 360-degree feedback and performance review cycles, built with a strong focus on privacy, transparency, and developer-friendly deployment. It allows organizations to run review cycles where employees get anonymous feedback from peers, managers, and direct reports, without vendor lock-in or per-user licensing costs. The system is built using the Django framework, with a PostgreSQL backend, and is packaged for easy deployment via... -
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Professional Programming
A collection of learning resources for curious software engineers
Professional Programming is a long-running, curated collection of learning resources aimed at helping software engineers grow into well-rounded professionals. It goes far beyond basic “learn to code” material and covers topics like system design, debugging, testing, performance, security, architecture, and software craftsmanship. The list is organized by themes such as coding, design, operations, communication, and career, making it easy to dive into specific aspects of engineering practice.... -
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Resurrecting Project in LinUtil
Automated Arch Linux Install
...It aims to make Arch more approachable by handling tasks like disk partitioning, base system installation, and desktop environment selection through a menu-driven interface. The repository includes configuration presets and scripts that not only install the system but also set up a curated software stack and sensible defaults. Over time, the project evolved and was eventually archived in favor of a newer, streamlined Arch install script, but ArchTitus remains available as a reference for its original approach. The script is popular among users who want an Arch-based environment tuned for desktop use without stepping through every command manually. ... -
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EasyR1
An Efficient, Scalable, Multi-Modality RL Training Framework
EasyR1 is a streamlined training framework for building “R1-style” reasoning models from open-source LLMs with minimal boilerplate. It focuses on the full reasoning stack—data preparation, supervised fine-tuning, preference or outcome-based optimization, and lightweight evaluation—so you can iterate quickly on chain-of-thought–heavy tasks. The project’s philosophy is practicality: sensible defaults, one-command recipes, and compatibility with popular base models let you stand up experiments without wrestling infrastructure. ... -
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mall-swarm
Microservices edition of the mall e-commerce system
mall-swarm is the microservices edition of the mall e-commerce system, designed to illustrate how an enterprise-scale e-commerce backend can be built using Spring Cloud Alibaba, Spring Boot 3.x, Sa-Token (authentication), MyBatis, Elasticsearch, Docker and Kubernetes. It includes modules for gateway, auth, search, portal, admin, monitoring, config, registry, and more, and integrates a Vue-based management frontend. The repository is structured to show how cross-service concerns like service... -
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guide-rpc-framework
A custom RPC framework implemented by Netty+Kyro+Zookeeper
...Since RPC remains a foundational building block in microservices, server architectures, and high-performance systems, this codebase helps you trace how requests are framed, routed, serialized, and executed across nodes. Because it integrates key pieces of the ecosystem (Netty event loops, Kyro object graphs, Zookeeper coordination), you also gain exposure to that stack. -
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AWS SDK for pandas
Easy integration with Athena, Glue, Redshift, Timestream, Neptune
aws-sdk-pandas (formerly AWS Data Wrangler) bridges pandas with the AWS analytics stack so DataFrames flow seamlessly to and from cloud services. With a few lines of code, you can read from and write to Amazon S3 in Parquet/CSV/JSON/ORC, register tables in the AWS Glue Data Catalog, and query with Amazon Athena directly into pandas. The library abstracts efficient patterns like partitioning, compression, and vectorized I/O so you get performant data lake operations without hand-rolling boilerplate. ... -
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AWS Chalice
Python Serverless Microframework for AWS
...While it’s intentionally lightweight, it supports common production needs like CORS, custom authorizers, binary responses, and fine-grained IAM so you can grow from prototype to production without rewriting your stack. -
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verl
Volcano Engine Reinforcement Learning for LLMs
VERL is a reinforcement-learning–oriented toolkit designed to train and align modern AI systems, from language models to decision-making agents. It brings together supervised fine-tuning, preference modeling, and online RL into one coherent training stack so teams can move from raw data to aligned policies with minimal glue code. The library focuses on scalability and efficiency, offering distributed training loops, mixed precision, and replay/buffering utilities that keep accelerators busy. It ships with reference implementations of popular alignment algorithms and clear examples that make it straightforward to reproduce baselines before customizing. ... -
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Embedded Template Library (ETL)
Embedded Template Library
C++ is a great language to use for embedded applications and templates are a powerful aspect. The standard library can offer a great deal of well-tested functionality, but there are some parts of the standard library that do not fit well with deterministic behavior and limited resource requirements. These limitations usually preclude the use of dynamically allocated memory and containers with open-ended sizes. What is needed is a template library where the user can declare the size, or... -
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Bailing
Bailing is a voice dialogue robot similar to GPT-4o
Bailing is an open-source voice-dialogue assistant designed to deliver natural voice-based conversations by combining automatic speech recognition (ASR), voice activity detection (VAD), a large language model (LLM), and text-to-speech (TTS) in a single pipeline. Its goal is to offer a “voice-first” chat experience similar to what one might expect from a system like GPT-4o, but fully open and deployable by users. The project is modular: each core function — ASR, VAD, LLM, TTS — exists as a... -
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Learn AI Engineering
Learn AI and LLMs from scratch using free resources
Learn AI Engineering is a learning path for AI engineering that consolidates high-quality, free resources across the full stack: math, Python foundations, machine learning, deep learning, LLMs, agents, tooling, and deployment. Rather than a loose bookmark list, it organizes topics into a progression so learners can start from fundamentals and move toward practical, production-oriented skills. It mixes courses, articles, code labs, and videos, emphasizing materials that teach both concepts and hands-on implementation. ... -
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MetricFlow
MetricFlow allows you to define, build, and maintain metrics in code
MetricFlow is an open-source semantic layer engine designed to help organizations define, manage, and query business metrics in a consistent, governed way. It works alongside a data stack—typically built with dbt—and allows you to express metrics as YAML‐based definitions tied to semantic models and dimension tables, rather than embedding logic ad-hoc across many dashboards or scripts. When a user or tool requests a metric (e.g., “monthly revenue by region”), MetricFlow generates optimized, warehouse-specific SQL to compute that metric, handling joins, filters, time grains, offsets, and other complexities under the hood. ... -
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FairChem
FAIR Chemistry's library of machine learning methods for chemistry
FAIRChem is a unified library for machine learning in chemistry and materials, consolidating data, pretrained models, demos, and application code into a single, versioned toolkit. Version 2 modernizes the stack with a cleaner core package and breaking changes relative to V1, focusing on simpler installs and a stable API surface for production and research. The centerpiece models (e.g., UMA variants) plug directly into the ASE ecosystem via a FAIRChem calculator, so users can run relaxations, molecular dynamics, spin-state energetics, and surface catalysis workflows with the same pretrained network by switching a task flag. ...
