Search Results for "search engine optimization" - Page 4
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Showing 163 open source projects for "search engine optimization"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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garysfm
An advanced file manager with qss themes and iso and folder previews
...The exe definitely works on Windows 11 and 10 amd and intel 64 bit systems. the exe is not for arm systems. Full theming engine with qss support for advanced theming in 1.2.4 To use themes other than the default download gsfmt.zip, and qss.zip and extract them to the directory where your garysfm is located. (version 1.2.3 and above for gsfmt and 1.2.4 and above for qss.) 1.2.9 has cloud syncing, bookmarks, tags, and collections, and cleaner -
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FreeAskInternet
FreeAskInternet is a completely free running search aggregator
FreeAskInternet is a self-hosted search and answer application that combines web results with large language models. A local SearXNG instance sends queries to multiple search engines and returns a broader collection of sources. The backend crawls selected pages, supplies their content to a configured model, and streams a synthesized response to the chat interface. It supports several hosted model services as well as custom local backends such as Ollama and llama.cpp. The web interface is... -
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RAG-Retrieval
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding
RAG-Retrieval is an open-source framework for building and training retrieval systems used in retrieval-augmented generation pipelines. Retrieval-augmented generation combines large language models with external knowledge retrieval to improve factual accuracy and domain-specific reasoning. This repository provides end-to-end infrastructure for training retrieval models, performing inference, and distilling embedding models for improved performance. It includes implementations of modern... -
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VectorDB
A Python vector database you just need, no more, no less
...It's a testament to effective Pythonic design without over-engineering, making it a lean yet powerful solution for all your needs. vectordb capitalizes on the powerful retrieval prowess of DocArray and the scalability, reliability, and serving capabilities of Jina. Here's the magic: DocArray serves as the engine driving vector search logic, while Jina guarantees efficient and scalable index serving. This synergy culminates in a robust, yet user-friendly vector database experience, that's vectordb for you. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Canopy
Retrieval Augmented Generation (RAG) framework
Canopy is an open-source retrieval-augmented generation (RAG) framework developed by Pinecone to simplify the process of building applications that combine large language models with external knowledge sources. The system provides a complete pipeline for transforming raw text data into searchable embeddings, storing them in a vector database, and retrieving relevant context for language model responses. It is designed to handle many of the complex components required for a RAG workflow,... -
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MuJoCo MPC
Real-time behaviour synthesis with MuJoCo, using Predictive Control
...The system supports multi-shooting optimization, enabling precise motion planning across diverse domains like quadruped locomotion, humanoid tracking, and dexterous manipulation. In addition to its C++ core, MJPC includes an experimental Python API, enabling integration with custom models and MuJoCo tasks for flexible scripting and experimentation. -
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OnionSearch
Search multiple Tor .onion engines at once and collect hidden links.
OnionSearch is a Python-based command-line tool designed to collect and aggregate links from multiple search engines on the Tor network. The script works by scraping results from a variety of .onion search services, allowing users to perform a single query while gathering results from many sources at once. This approach helps researchers and investigators locate hidden services more efficiently without manually querying each individual search engine. ... -
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Evolutionary Algorithm
Evolutionary Algorithm using Python
Evolutionary Algorithm is an educational Python project that demonstrates evolutionary computation techniques such as genetic algorithms, evolution strategies, and neuroevolution in a clear and accessible way. Rather than being a single monolithic library, this repository provides a series of self-contained examples showing how different population-based search methods solve optimization problems and adapt candidate solutions over generations. Users can explore basic genetic algorithm setups, match phrase examples, pathfinding challenges, and microbial GA variants, as well as evolution strategy approaches like NES. The project also links classical evolutionary approaches with neural networks, illustrating how evolution can be used for model training in reinforcement learning and supervised contexts. -
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fastquant
Backtest and optimize your ML trading strategies with only 3 lines
...By automating data retrieval, strategy evaluation, and result visualization, the library reduces the barrier to entry for individuals interested in quantitative finance. The project also supports optimization workflows that allow users to search for parameter combinations that improve trading strategy performance. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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NExfil
Fast OSINT tool for discovering web profiles by username
NExfil is an open source OSINT (Open Source Intelligence) tool designed to locate user profiles across the web based on a given username. Developed in Python, the tool automates the process of checking hundreds of websites to determine whether a specific username exists on those platforms. By performing automated queries across numerous services, NExfil helps investigators, researchers, and security professionals quickly identify potential accounts associated with a particular username. The... -
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Graph of Thoughts
Official Implementation of "Graph of Thoughts
...In this framework, problems are modeled as a graph of operations where nodes represent reasoning steps and edges represent dependencies between them. The framework executes these operations using a large language model as the reasoning engine while evaluating intermediate results to guide the search process. This approach enables models to explore multiple reasoning strategies in parallel and choose the most promising solutions during problem solving. -
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AI-powered enterprise search engine
AI-powered enterprise search engine
AI-powered enterprise search engine is an open-source, AI-powered enterprise search engine designed to help organizations quickly locate and retrieve information scattered across multiple internal tools, documents, and communication platforms. It enables users to search across sources such as Slack, Confluence, Jira, Google Drive, and other enterprise systems, consolidating fragmented knowledge into a single, unified search experience. ... -
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CrossLinked
LinkedIn employee enumeration tool using search engine scraping
CrossLinked is an open source LinkedIn enumeration tool designed to collect employee names associated with a target organization. Instead of accessing LinkedIn directly or relying on its API, it performs search engine scraping using services such as Google and Bing to discover public LinkedIn profile results. By analyzing these search results, CrossLinked extracts employee names and processes them into usable formats for security assessments or reconnaissance activities. This approach allows the tool to operate without credentials, authentication tokens, or LinkedIn account access. ... -
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mindflow
AI-powered CLI git wrapper, boilerplate code generator, chat history
I-powered CLI git wrapper, boilerplate code generator, chat history manager, and code search engine to streamline your dev workflow. The ChatGPT-powered swiss army knife for the modern developer! We provide an AI-powered CLI git wrapper, boilerplate code generator, code search engine, a conversation history manager, and much more! Configure the model used for generating responses by running mf config and selecting either GPT 3.5 Turbo (default) or GPT 4. ... -
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Image Downloader
Download images from Google, Bing, Baidu
Crawl and download images using Selenium Using python3 and PyQt5. Supported Search Engine: Google, Bing, Baidu. Keywords input from the keyboard or input from line separated keywords list file for batch process. Download image using a customizable number of threads. Fully supported conditional search (eg. filetype:, site:). Switch for Google safe mode. Proxy configuration (socks, HTTP). CMD and GUI ways of using are provided. -
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cerche
Experimental search engine for conversational AI such as parl.ai
This is an experimental search engine for conversational AI such as parl.ai, large language models such as OpenAI GPT3, and humans (maybe). -
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searx
Privacy-respecting metasearch engine
Searx is a free and open source internet metasearch engine that respects your privacy. It aggregates results from over 70 search services, providing accurate, relevant results with absolutely no user tracking or profiling going on. It’s like having your very own private search engine. It has secure, encrypted connections and does not use cookies by default, giving you the assurance that your searches are 100% private and secure. -
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Auto-PyTorch
Automatic architecture search and hyperparameter optimization
While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, another trend in AutoML is to focus on neural architecture search. To bring the best of these two worlds together, we developed Auto-PyTorch, which jointly and robustly optimizes the network architecture and the training hyperparameters to enable fully automated deep learning (AutoDL). Auto-PyTorch is mainly developed to support tabular data (classification, regression) and time series... -
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OneForAll
OneForAll is a powerful subdomain collection tool
OneForAll is a comprehensive subdomain enumeration and reconnaissance tool primarily used in penetration testing and bug bounty workflows. Built in Python, it aggregates results from numerous DNS, certificate transparency, search engine, and threat intelligence sources to uncover hidden subdomains. The tool is particularly notable for incorporating many Chinese data sources that are often missed by Western-focused recon tools, increasing discovery coverage. It supports brute-force subdomain discovery, recursive scanning, and takeover detection to help identify potential attack surfaces. ... -
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Hugging Face Transformer
CPU/GPU inference server for Hugging Face transformer models
Optimize and deploy in production Hugging Face Transformer models in a single command line. At Lefebvre Dalloz we run in-production semantic search engines in the legal domain, in the non-marketing language it's a re-ranker, and we based ours on Transformer. In that setup, latency is key to providing a good user experience, and relevancy inference is done online for hundreds of snippets per user query. Most tutorials on Transformer deployment in production are built over Pytorch and FastAPI.... -
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Aquila X
Easy build your personal search engine with Aquila Network
Easy build your personal search engine with Aquila Network. Aquila X is the gateway to Aquila Network and it's applications. AquilaX is a smart bookmarking tool. You can keep your bookmarks and search through it's contents. Choose to keep all your data in a local server or in the cloud. This is an open source software and thus is auditable. -
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Scikit-Optimize
Sequential model-based optimization with a `scipy.optimize` interface
Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt aims to be accessible and easy to use in many contexts. The library is built on top of NumPy, SciPy and Scikit-Learn. -
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Aquila DB
An easy to use Neural Search Engine
Aquila DB is a Neural search engine. In other words, it is a database to index Latent Vectors generated by ML models along with JSON Metadata to perform k-NN retrieval. It is dead simple to set up, language-agnostic, and drop in addition to your Machine Learning Applications. Aquila DB, as of current features is a ready solution for Machine Learning engineers and Data scientists to build Neural Information Retrieval applications out of the box with minimal dependencies. -
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Couler
Unified Interface for Constructing and Managing Workflows
Couler is a system designed for unified machine learning workflow optimization in the cloud. Couler endeavors to provide a unified interface for constructing and optimizing workflows across various workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow. Couler enhances workflow efficiency through features like Autonomous Workflow Construction, Automatic Artifact Caching Mechanisms, Big Workflow Auto Parallelism Optimization, and Automatic Hyperparameters Tuning. -
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DeText
A Deep Neural Text Understanding Framework
DeText is a Deep Text understanding framework for NLP-related ranking, classification, and language generation tasks. It leverages semantic matching using deep neural networks to understand member intents in search and recommender systems. As a general NLP framework, DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks.
