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5 - AI tool Sites

Aigclist
Aigclist is a website that provides a directory of AI tools and resources. The website is designed to help users find the right AI tools for their needs. Aigclist also provides information on AI trends and news.

灵办AI
灵办AI is a free AI assistant for learning and office tasks. It provides users with various AI-powered features to enhance productivity and efficiency in both educational and professional settings. The tool offers a user-friendly interface and supports multiple languages, making it accessible to a diverse user base. With its advanced algorithms, 灵办AI aims to simplify complex tasks and streamline workflows, ultimately saving users time and effort.

Fun AI
Fun AI is a professional AI tool navigation website where users can find the latest and most useful AI tools and resources to easily grasp the latest trends in the AI field. With over 600 best artificial intelligence products and services continuously updated, Fun AI offers a variety of tools tailored for different purposes, such as AI Screenwriting Tool for scriptwriters, ARC for image restoration, AskCodi for coding assistance, AliGenie for smart home applications, AgentGPT for AI agent creation, MyShell AI for chatting with AI characters, Civitai for AI art community, ClipDrop for image processing, Copy.ai for sales and marketing automation, and more. These tools cater to various needs in different domains, showcasing the versatility and innovation of AI technology.

FutureTools AI
FutureTools AI is a comprehensive directory showcasing the best and latest AI tools available in 2024. From image processing to content creation, the platform offers a wide range of tools powered by artificial intelligence technology. Users can explore tools for tasks such as removing backgrounds, generating high-quality copies, creating cartoon images, and more. FutureTools AI aims to simplify and enhance various aspects of digital work and creativity through innovative AI solutions.

Kolr
Kolr is an AI influencer marketing solution expert that provides a comprehensive platform for brands to search, analyze, and optimize influencer marketing campaigns. With access to the world's largest database of over 300 million influencers, Kolr offers features such as competitor analysis, influencer search, influencer data analysis, project influencer repository, and influencer relationship management system. The platform combines powerful data analytics with a professional team to deliver high-impact influencer marketing strategies across various industries.
20 - Open Source Tools

writing-helper
A Next.js-based AI writing assistant that helps users organize writing style prompts and sends them to large language models (LLMs) to generate content. The tool aims to help writers, content creators, and copywriters improve writing efficiency and quality through AI technology. It features rich writing style customization, support for multiple LLM APIs, flexible API settings, user-friendly interface, real-time content editing, export function, detailed debugging information, dark/light mode support, and more.

AIProductHome
AI Product Home is a repository dedicated to collecting various AI commercial or open-source products. It provides assistance in submitting issues, self-recommendation, correcting resources, and more. The repository also features AI tools like Build Naidia, Autopod, Rytr, Mubert, and a virtual town driven by AI. It includes sections for AI models, chat dialogues, AI assistants, code assistance, artistic creation, content creation, and more. The repository covers a wide range of AI-related tools and resources for users interested in AI products and services.

siteproxy
Siteproxy 2.0 is a web proxy tool that utilizes service worker for enhanced stability and increased website coverage. It replaces express with hono for a 4x speed boost and supports deployment on Cloudflare worker. It enables reverse proxying, allowing access to YouTube/Google without VPN, and supports login for GitHub and Telegram web. The tool also features DuckDuckGo AI Chat with free access to GPT3.5 and Claude3. It offers a pure web-based online proxy with no client configuration required, facilitating reverse proxying to the internet.

spring-ai-alibaba-examples
This repository contains examples showcasing various uses of Spring AI Alibaba, from basic to advanced, and best practices for AI projects. It welcomes contributions related to Spring AI Alibaba usage examples, API usage, Spring AI usage examples, and best practices for AI projects. The project structure is designed to modularize functions for easy access and use.

LLM-And-More
LLM-And-More is a one-stop solution for training and applying large models, covering the entire process from data processing to model evaluation, from training to deployment, and from idea to service. In this project, users can easily train models through this project and generate the required product services with one click.

Long-Novel-GPT
Long-Novel-GPT is a long novel generator based on large language models like GPT. It utilizes a hierarchical outline/chapter/text structure to maintain the coherence of long novels. It optimizes API calls cost through context management and continuously improves based on self or user feedback until reaching the set goal. The tool aims to continuously refine and build novel content based on user-provided initial ideas, ultimately generating long novels at the level of human writers.

EasyAIVtuber
EasyAIVtuber is a tool designed to animate 2D waifus by providing features like automatic idle actions, speaking animations, head nodding, singing animations, and sleeping mode. It also offers API endpoints and a web UI for interaction. The tool requires dependencies like torch and pre-trained models for optimal performance. Users can easily test the tool using OBS and UnityCapture, with options to customize character input, output size, simplification level, webcam output, model selection, port configuration, sleep interval, and movement extension. The tool also provides an API using Flask for actions like speaking based on audio, rhythmic movements, singing based on music and voice, stopping current actions, and changing images.

blog
This repository contains a simple blog application built using Python and Flask framework. It allows users to create, read, update, and delete blog posts. The application uses SQLite database for storing blog data and provides a basic user interface for interacting with the blog. The code is well-organized and easy to understand, making it suitable for beginners looking to learn web development with Python and Flask.

claude-pro
Claude Pro is a powerful AI conversational model that excels in handling complex instructions, understanding context, and generating natural text. It is considered a top alternative to ChatGPT Plus, offering high-quality content with almost no AI traces. The article provides detailed information on what Claude is, how to access it in China, how to register, and how to subscribe using a foreign credit card. It also covers topics like using a stable VPN, obtaining a foreign virtual credit card, and a foreign phone number for registration. The process of purchasing a Claude Pro account in China is explained step by step, emphasizing the importance of following the platform's policies to avoid account suspension.

DQN_WUKONG
DQN_WUKONG is a repository containing code for training an AI model to play a specific game. It provides instructions for setting up the environment using Conda or venv, as well as details on key files such as window.py, judge.py, restart.py, and main.py. The repository includes scripts for training the model and specific configurations for gameplay. It also references a BossRush V3 mod for repetitive training and acknowledges code contributions from other repositories like DQN_play_sekiro and pygta5. For a more general AI framework, users can refer to the GameAISDK repository.

fit-framework
FIT Framework is a Java enterprise AI development framework that provides a multi-language function engine (FIT), a flow orchestration engine (WaterFlow), and a Java ecosystem alternative solution (FEL). It runs in native/Spring dual mode, supports plug-and-play and intelligent deployment, seamlessly unifying large models and business systems. FIT Core offers language-agnostic computation base with plugin hot-swapping and intelligent deployment. WaterFlow Engine breaks the dimensional barrier of BPM and reactive programming, enabling graphical orchestration and declarative API-driven logic composition. FEL revolutionizes LangChain for the Java ecosystem, encapsulating large models, knowledge bases, and toolchains to integrate AI capabilities into Java technology stack seamlessly. The framework emphasizes engineering practices with intelligent conventions to reduce boilerplate code and offers flexibility for deep customization in complex scenarios.

OneClickLLAMA
OneClickLLAMA is a tool designed to run local LLM models such as Qwen2.5 and SakuraLLM with ease. It can be used in conjunction with various OpenAI format translators and analyzers, including LinguaGacha and KeywordGacha. By following the setup guides provided on the page, users can optimize performance and achieve a 3-5 times speed improvement compared to default settings. The tool requires a minimum of 8GB dedicated graphics memory, preferably NVIDIA, and the latest version of graphics drivers installed. Users can download the tool from the release page, choose the appropriate model based on usage and memory size, and start the tool by selecting the corresponding launch script.

ChatGPT-On-CS
This project is an intelligent dialogue customer service tool based on a large model, which supports access to platforms such as WeChat, Qianniu, Bilibili, Douyin Enterprise, Douyin, Doudian, Weibo chat, Xiaohongshu professional account operation, Xiaohongshu, Zhihu, etc. You can choose GPT3.5/GPT4.0/ Lazy Treasure Box (more platforms will be supported in the future), which can process text, voice and pictures, and access external resources such as operating systems and the Internet through plug-ins, and support enterprise AI applications customized based on their own knowledge base.

bce-qianfan-sdk
The Qianfan SDK provides best practices for large model toolchains, allowing AI workflows and AI-native applications to access the Qianfan large model platform elegantly and conveniently. The core capabilities of the SDK include three parts: large model reasoning, large model training, and general and extension: * `Large model reasoning`: Implements interface encapsulation for reasoning of Yuyan (ERNIE-Bot) series, open source large models, etc., supporting dialogue, completion, Embedding, etc. * `Large model training`: Based on platform capabilities, it supports end-to-end large model training process, including training data, fine-tuning/pre-training, and model services. * `General and extension`: General capabilities include common AI development tools such as Prompt/Debug/Client. The extension capability is based on the characteristics of Qianfan to adapt to common middleware frameworks.

Llama-Chinese
Llama中文社区是一个专注于Llama模型在中文方面的优化和上层建设的高级技术社区。 **已经基于大规模中文数据,从预训练开始对Llama2模型进行中文能力的持续迭代升级【Done】**。**正在对Llama3模型进行中文能力的持续迭代升级【Doing】** 我们热忱欢迎对大模型LLM充满热情的开发者和研究者加入我们的行列。

private-llm-qa-bot
This is a production-grade knowledge Q&A chatbot implementation based on AWS services and the LangChain framework, with optimizations at various stages. It supports flexible configuration and plugging of vector models and large language models. The front and back ends are separated, making it easy to integrate with IM tools (such as Feishu).

ai_wiki
This repository provides a comprehensive collection of resources, open-source tools, and knowledge related to quantitative analysis. It serves as a valuable knowledge base and navigation guide for individuals interested in various aspects of quantitative investing, including platforms, programming languages, mathematical foundations, machine learning, deep learning, and practical applications. The repository is well-structured and organized, with clear sections covering different topics. It includes resources on system platforms, programming codes, mathematical foundations, algorithm principles, machine learning, deep learning, reinforcement learning, graph networks, model deployment, and practical applications. Additionally, there are dedicated sections on quantitative trading and investment, as well as large models. The repository is actively maintained and updated, ensuring that users have access to the latest information and resources.

PaddleScience
PaddleScience is a scientific computing suite developed based on the deep learning framework PaddlePaddle. It utilizes the learning ability of deep neural networks and the automatic (higher-order) differentiation mechanism of PaddlePaddle to solve problems in physics, chemistry, meteorology, and other fields. It supports three solving methods: physics mechanism-driven, data-driven, and mathematical fusion, and provides basic APIs and detailed documentation for users to use and further develop.

Qwen-TensorRT-LLM
Qwen-TensorRT-LLM is a project developed for the NVIDIA TensorRT Hackathon 2023, focusing on accelerating inference for the Qwen-7B-Chat model using TRT-LLM. The project offers various functionalities such as FP16/BF16 support, INT8 and INT4 quantization options, Tensor Parallel for multi-GPU parallelism, web demo setup with gradio, Triton API deployment for maximum throughput/concurrency, fastapi integration for openai requests, CLI interaction, and langchain support. It supports models like qwen2, qwen, and qwen-vl for both base and chat models. The project also provides tutorials on Bilibili and blogs for adapting Qwen models in NVIDIA TensorRT-LLM, along with hardware requirements and quick start guides for different model types and quantization methods.

Awesome-LLM-RAG-Application
Awesome-LLM-RAG-Application is a repository that provides resources and information about applications based on Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) pattern. It includes a survey paper, GitHub repo, and guides on advanced RAG techniques. The repository covers various aspects of RAG, including academic papers, evaluation benchmarks, downstream tasks, tools, and technologies. It also explores different frameworks, preprocessing tools, routing mechanisms, evaluation frameworks, embeddings, security guardrails, prompting tools, SQL enhancements, LLM deployment, observability tools, and more. The repository aims to offer comprehensive knowledge on RAG for readers interested in exploring and implementing LLM-based systems and products.