Search Results for "apache" - Page 60
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Showing 11372 open source projects for "apache"
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Arch Gateway
The AI-native (edge and LLM) proxy for agents
Arch is an AI-native proxy designed to facilitate the development of agentic applications by handling complex tasks such as input clarification, agent routing, and seamless integration of prompts with tools for common tasks. It provides unified access and observability of Large Language Models (LLMs), enabling developers to build applications more efficiently. Arch supports both edge and LLM deployments, offering flexibility in various environments. -
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LazyLLM
Easiest and laziest way for building multi-agent LLMs applications
LazyLLM is an optimized, lightweight LLM server designed for easy and fast deployment of large language models. It is fully compatible with the OpenAI API specification, enabling developers to integrate their own models into applications that normally rely on OpenAI’s endpoints. LazyLLM emphasizes low resource usage and fast inference while supporting multiple models. -
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gemma.cpp
lightweight, standalone C++ inference engine for Google's Gemma models
Gemma.cpp is a C++ implementation for running inference with Gemma models efficiently on CPUs and GPUs. Developed by Google, it allows running large language models (LLMs) like Gemma with minimal hardware, focusing on optimized performance and low latency. Gemma.cpp is intended for developers seeking to deploy LLMs in production environments without needing massive computational resources. -
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Mctx
Monte Carlo tree search in JAX
mctx is a Monte Carlo Tree Search (MCTS) library developed by Google DeepMind for reinforcement learning research. It enables efficient and flexible implementation of MCTS algorithms, including those used in AlphaZero and MuZero. -
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Aerospike Node.js Client
Node.js client for the Aerospike database
Aerospike Node.js Client is the official Node.js driver for Aerospike, a high-performance NoSQL database optimized for real-time applications. It provides low-latency access to key-value stores and supports advanced data structures for AI, financial, and IoT applications. -
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ArangoDB Java Driver
The official ArangoDB Java driver
ArangoDB Java Driver is the official Java client for interacting with ArangoDB, a multi-model NoSQL database that supports document, key-value, and graph storage. This driver provides a high-level API for managing databases, executing AQL queries, and handling transactions efficiently. -
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Google Node.js Datastore
Node.js client for Google Cloud Datastore
Google’s Node.js Datastore client is a library for interacting with Google Cloud Datastore, a fully managed NoSQL database. It enables developers to store and query structured data in a scalable and serverless manner. The library provides an easy-to-use API for integrating Datastore into Node.js applications. -
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Tensorforce
A TensorFlow library for applied reinforcement learning
Tensorforce is an open-source deep reinforcement learning framework built on TensorFlow, emphasizing modularized design and straightforward usability for applied research and practice. -
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Keras Hub
Pretrained model hub for Keras 3
Keras Hub is a repository of pre-trained models for Keras 3, offering a collection of ready-to-use models for various machine-learning tasks. KerasHub is an extension of the core Keras API; KerasHub components are provided as Layer and Model implementations. If you are familiar with Keras, congratulations. You already understand most of KerasHub. -
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TapeAgents
A framework that facilitates all stages of LLM development
TapeAgents is a framework that facilitates all stages of the Large Language Model (LLM) agent development lifecycle, providing tools for building, testing, and deploying AI agents. -
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SetFit
Efficient few-shot learning with Sentence Transformers
SetFit is an efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers. It achieves high accuracy with little labeled data - for instance, with only 8 labeled examples per class on the Customer Reviews sentiment dataset, SetFit is competitive with fine-tuning RoBERTa Large on the full training set of 3k examples. -
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MegaParse
File Parser optimised for LLM Ingestion with no loss
MegaParse is a file parser optimized for Large Language Model (LLM) ingestion, ensuring no loss of information. It efficiently parses various document formats, such as PDFs, DOCX, and PPTX, converting them into formats ideal for processing by LLMs. This tool is essential for applications that require accurate and comprehensive data extraction from diverse document types. -
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Chimney
Scala library for boilerplate-free, type-safe data transformations
Chimney is a Scala library that facilitates boilerplate-free, type-safe data transformations between different data types. It enables developers to define mappings between source and target types, ensuring that transformations are checked at compile time, thereby reducing runtime errors and enhancing code reliability. -
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CloudEvents
CloudEvents Specification
Events are everywhere. However, event producers tend to describe events differently. The lack of a common way of describing events means developers must constantly re-learn how to consume events. This also limits the potential for libraries, tooling and infrastructure to aide the delivery of event data across environments, like SDKs, event routers or tracing systems. The portability and productivity we can achieve from event data is hindered overall. CloudEvents is a specification for... -
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Gitness
Gitness is an Open Source developer platform with Source Control
Gitness is an open source development platform packed with the power of code hosting and automated DevOps pipelines. Gitness represents a massive investment in the next generation of drones. Where Drone focuses on continuous integration, Gitness adds source code hosting, bringing code management and pipelines closer together. The goal is for Gitness to eventually be at full parity with Drone in terms of pipeline capabilities, allowing users to seamlessly migrate from Drone to Gitness. -
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wttr.in
The right way to check the weather
wttr.in is a console-oriented weather forecast service that supports various information representation methods like terminal-oriented ANSI-sequences for console HTTP clients (curl, httpie, or wget), HTML for web browsers, or PNG for graphical viewers. Originally started as a small project, a wrapper for wego, intended to demonstrate the power of the console-oriented services, wttr.in became a popular weather reporting service, handling tens of millions of queries daily. -
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Elyra
Elyra extends JupyterLab with an AI centric approach
Elyra is a set of AI-centric extensions to JupyterLab Notebooks. The Elyra Getting Started Guide includes more details on these features. A version-specific summary of new features is located on the releases page. -
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cuML
RAPIDS Machine Learning Library
cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. In most cases, cuML's Python API matches the API from scikit-learn. For large datasets, these GPU-based implementations can complete 10-50x faster than their CPU... -
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Watchexec
Executes commands in response to file modifications
Software development often involves running the same commands over and over. Watchexec is a simple, standalone tool that watches a path and runs a command whenever it detects modifications. -
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Hera
Hera is an Argo Python SDK
Hera is an Argo Python SDK. Hera aims to make the construction and submission of various Argo Project resources easy and accessible to everyone! Hera abstracts away low-level setup details while still maintaining a consistent vocabulary with Argo. -
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Pottery
Redis for humans
Redis is awesome, but Redis commands are not always intuitive. Pottery is a Pythonic way to access Redis. If you know how to use Python dicts, then you already know how to use Pottery. Pottery is useful for accessing Redis more easily, and also for implementing microservice resilience patterns, and it has been battle-tested in production at scale. -
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Laravel Eloquent Query Cache
Adding cache on your Laravel Eloquent queries' results is now a breeze
Laravel Eloquent Query Cache brings back the remember() functionality that has been removed from Laravel a long time ago. It adds caching functionalities directly on the Eloquent level, making use of cache within your database queries. -
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k3s Ansible Playbook
Easiest way to bootstrap a self-hosted High Availability Kubernetes
The easiest way to bootstrap a self-hosted High Availability Kubernetes cluster. A fully automated HA k3s etc. install with kube-vip, MetalLB, and more. This is based on the work from this fork which is based on the work from k3s-io/k3s-ansible. It uses kube-vip to create a load balancer for control plane, and metal-lb for its service LoadBalancer. -
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Argo Events
Event-driven Automation Framework for Kubernetes
Argo Events is an event-driven workflow automation framework for Kubernetes. It allows you to trigger 10 different actions (such as the creation of Kubernetes objects, invoking workflows or serverless workloads) on over 20 different events (such as webhook, S3 drop, cron schedule, messaging queues - e.g. Kafka, GCP PubSub, SNS, SQS). -
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Goldilocks
Get your resource requests "Just Right"
Goldilocks is a utility that can help you identify a starting point for resource requests and limits. By using the Kubernetes vertical-pod-autoscaler in recommendation mode, we can see a suggestion for resource requests on each of our apps. This tool creates a VPA for each workload in a namespace and then queries them for information. Once your VPAs are in place, you'll see recommendations appear in the Goldilocks dashboard.
