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Seona AI
Seona AI is a free SEO tool that helps businesses optimize their websites for search engines. It uses AI to analyze a website's content and structure, and then provides recommendations on how to improve its SEO. Seona AI is easy to use and can be used by businesses of all sizes.
MacWhisper
MacWhisper is a native macOS application that utilizes OpenAI's Whisper technology for transcribing audio files into text. It offers a user-friendly interface for recording, transcribing, and editing audio, making it suitable for various use cases such as transcribing meetings, lectures, interviews, and podcasts. The application is designed to protect user privacy by performing all transcriptions locally on the device, ensuring that no data leaves the user's machine.
Soona
Soona is an AI-powered online platform designed for marketers and creatives to create, manage, and measure their brand's content. It offers a range of free tools for editing and enhancing photos, including background removal, scene generation, color adjustments, text addition, image resizing, and shadow effects. Additionally, Soona provides AI-powered visual analytics for competitive analysis and insights. The platform also features state-of-the-art photography studios for e-commerce content creation, offering professional product photography and video production services. Soona aims to make content creation easy and affordable for businesses of all sizes, with a focus on quality, speed, and accessibility.
StyleAI
StyleAI is an all-in-one AI marketing platform that offers AI-driven SEO and Google Ads solutions. It provides tools to build and manage websites, optimize SEO, and run ad campaigns effortlessly. With StyleAI, users can save money, reach more customers, and enhance their digital presence without the need for expensive marketing agencies or expert skills.
Read This Twice
Read This Twice is a website dedicated to finding and recommending books worth reading twice. The platform offers a curated selection of book recommendations from notable figures like Barack Obama, Bill Gates, Oprah Winfrey, and others. The database is continually expanding with verified recommendations linked to the original sources. Users can explore various reading lists, discover new books, and receive personalized recommendations through an AI-driven book recommendation assistant called 'Sona.'
awesome-mobile-robotics
The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.
Awesome-LLM-Prune
This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.
ianvs
Ianvs is a distributed synergy AI benchmarking project incubated in KubeEdge SIG AI. It aims to test the performance of distributed synergy AI solutions following recognized standards, providing end-to-end benchmark toolkits, test environment management tools, test case control tools, and benchmark presentation tools. It also collaborates with other organizations to establish comprehensive benchmarks and related applications. The architecture includes critical components like Test Environment Manager, Test Case Controller, Generation Assistant, Simulation Controller, and Story Manager. Ianvs documentation covers quick start, guides, dataset descriptions, algorithms, user interfaces, stories, and roadmap.
ai-audio-startups
The 'ai-audio-startups' repository is a community list of startups working with AI for audio and music tech. It includes a comprehensive collection of tools and platforms that leverage artificial intelligence to enhance various aspects of music creation, production, source separation, analysis, recommendation, health & wellbeing, radio/podcast, hearing, sound detection, speech transcription, synthesis, enhancement, and manipulation. The repository serves as a valuable resource for individuals interested in exploring innovative AI applications in the audio and music industry.
Awesome-LLM-Long-Context-Modeling
This repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.
Awesome-Segment-Anything
Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.
ai-audio-datasets
AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.
SLMs-Survey
SLMs-Survey is a comprehensive repository that includes papers and surveys on small language models. It covers topics such as technology, on-device applications, efficiency, enhancements for LLMs, and trustworthiness. The repository provides a detailed overview of existing SLMs, their architecture, enhancements, and specific applications in various domains. It also includes information on SLM deployment optimization techniques and the synergy between SLMs and LLMs.
hongbomiao.com
hongbomiao.com is a personal research and development (R&D) lab that facilitates the sharing of knowledge. The repository covers a wide range of topics including web development, mobile development, desktop applications, API servers, cloud native technologies, data processing, machine learning, computer vision, embedded systems, simulation, database management, data cleaning, data orchestration, testing, ops, authentication, authorization, security, system tools, reverse engineering, Ethereum, hardware, network, guidelines, design, bots, and more. It provides detailed information on various tools, frameworks, libraries, and platforms used in these domains.
open-dubbing
Open dubbing is an AI dubbing system that uses machine learning models to automatically translate and synchronize audio dialogue into different languages. It is designed as a command line tool. The project is experimental and aims to explore speech-to-text, text-to-speech, and translation systems combined. It supports multiple text-to-speech engines, translation engines, and gender voice detection. The tool can automatically dub videos, detect source language, and is built on open-source models. The roadmap includes better voice control, optimization for long videos, and support for multiple video input formats. Users can post-edit dubbed files by manually adjusting text, voice, and timings. Supported languages vary based on the combination of systems used.
awesome-generative-information-retrieval
This repository contains a curated list of resources on generative information retrieval, including research papers, datasets, tools, and applications. Generative information retrieval is a subfield of information retrieval that uses generative models to generate new documents or passages of text that are relevant to a given query. This can be useful for a variety of tasks, such as question answering, summarization, and document generation. The resources in this repository are intended to help researchers and practitioners stay up-to-date on the latest advances in generative information retrieval.
speechlib
Speechlib is a Python library that provides functionalities for speaker diarization, speaker recognition, and transcription on audio files. It offers features such as converting audio formats to WAV, converting stereo to mono, and re-encoding to 16-bit PCM. The library allows users to transcribe audio files, store transcripts, specify language and model size, and perform speaker recognition using voice samples. It supports various languages and provides performance metrics for different model sizes. Speechlib utilizes huggingface models for speaker recognition and transcription tasks.
LLMAgentPapers
LLM Agents Papers is a repository containing must-read papers on Large Language Model Agents. It covers a wide range of topics related to language model agents, including interactive natural language processing, large language model-based autonomous agents, personality traits in large language models, memory enhancements, planning capabilities, tool use, multi-agent communication, and more. The repository also provides resources such as benchmarks, types of tools, and a tool list for building and evaluating language model agents. Contributors are encouraged to add important works to the repository.