Awesome-Lists is a curated list of awesome lists across various domains of computer science and beyond, including programming languages, web development, data science, and more. It provides a comprehensive index of articles, books, courses, open source projects, and other resources. The lists are organized by topic and subtopic, making it easy to find the information you need. Awesome-Lists is a valuable resource for anyone looking to learn more about a particular topic or to stay up-to-date on the latest developments in the field.

Awesome-Lists is a curated index of selected resources spanning various fields including programming languages and theories, web and frontend development, server-side development and infrastructure, cloud computing and big data, data science and artificial intelligence, product design, etc. It includes articles, books, courses, examples, open-source projects, and more. The repository categorizes resources according to the knowledge system of different domains, aiming to provide valuable and concise material indexes for readers. Users can explore and learn from a wide range of high-quality resources in a systematic way.

FeedCraft is a powerful tool to process your rss feeds as a middleware. Use it to translate your feed, extract fulltext, emulate browser to render js-heavy page, use llm such as google gemini to generate brief for your rss article, use natural language to filter your rss feed, and more! It is an open-source tool that can be self-deployed and used with any RSS reader. It supports AI-powered processing using Open AI compatible LLMs, custom prompt, saving rules to apply to different RSS sources, portable mode for on-the-go usage, and dock mode for advanced customization of RSS sources and processing parameters.

ComfyUI-BRIA_AI-RMBG is an unofficial implementation of the BRIA Background Removal v1.4 model for ComfyUI. The tool supports batch processing, including video background removal, and introduces a new mask output feature. Users can install the tool using ComfyUI Manager or manually by cloning the repository. The tool includes nodes for automatically loading the Removal v1.4 model and removing backgrounds. Updates include support for batch processing and the addition of a mask output feature.

ChatPDF is a knowledge question and answer retrieval tool based on local LLM. It supports various open-source LLM models like ChatGLM3-6b, Chinese-LLaMA-Alpaca-2, Baichuan, YI, and multiple file formats including PDF, docx, markdown, txt. The tool optimizes RAG accuracy, Chinese chunk segmentation, embedding using text2vec's sentence embedding, retrieval matching with rank_BM25, and introduces reranker module for reranking candidate sets. It also enhances candidate chunk extension context, supports custom RAG models, and provides a Gradio-based RAG conversation page for seamless dialogue.

KWeaver is an open-source cognitive intelligence development framework that provides data scientists, application developers, and domain experts with the ability for rapid development, comprehensive openness, and high-performance knowledge network generation and cognitive intelligence large model framework. It offers features such as automated and visual knowledge graph construction, visualization and analysis of knowledge graph data, knowledge graph integration, knowledge graph resource management, large model prompt engineering and debugging, and visual configuration for large model access.

A SpringBoot web application that generates PPT files using a llm. The tool preprocesses single-page templates and dynamically combines them to generate PPTX files with text replacement functionality. It utilizes technologies such as SpringBoot, MyBatis, MySQL, Redis, WebFlux, Apache POI, Aspose Slides, OSS, and Vue2. Users can deploy the tool by configuring various parameters in the application.yml file and setting up necessary resources like MySQL, OSS, and API keys. The tool also supports integration with open-source image libraries like Unsplash for adding images to the presentations.

chatgpt.js-chrome-starter is a starting point for developing Chrome extensions using chatgpt.js. It provides a template with installation instructions and tips for creating extensions that leverage the ChatGPT technology. The repository includes sample screenshots and references to advanced Chrome API methods for developers to explore.

DeepClaude is an open-source project inspired by the DeepSeek R1 model, aiming to provide the best results in various tasks by combining different models. It supports OpenAI-compatible input and output formats, integrates with DeepSeek and Claude APIs, and offers special support for other OpenAI-compatible models. Users can run the project locally or deploy it on a server to access a powerful language model service. The project also provides guidance on obtaining necessary APIs and running the project, including using Docker for deployment.

DB2Rest is a modern low-code REST DATA API platform that simplifies the development of intelligent applications. It seamlessly integrates existing and new databases with language models (LMs/LLMs) and vector stores, enabling the rapid delivery of context-aware, reasoning applications without vendor lock-in.

RisuAI, or Risu for short, is a cross-platform AI chatting software/web application with powerful features such as multiple API support, assets in the chat, regex functions, and much more.

AutoPilot Observability (APO) is an out-of-the-box observability platform that provides one-click installation and ready-to-use capabilities. APO's OneAgent supports one-click configuration-free installation of Tracing probes, collects application fault scene logs, infrastructure metrics, network metrics of applications and downstream dependencies, and Kubernetes events. It supports collecting causality metrics based on eBPF implementation. APO integrates OpenTelemetry probes, otel-collector, Jaeger, ClickHouse, and VictoriaMetrics, reducing user configuration work. APO innovatively integrates eBPF technology with the OpenTelemetry ecosystem, significantly reducing data storage volume. It offers guided troubleshooting using eBPF technology to assist users in pinpointing fault causes on a single page.

uuWAF is an industrial-grade, free, high-performance, highly extensible web application and API security protection product that supports AI and semantic engines.

LynxHub is a platform that allows users to seamlessly install, configure, launch, and manage all their AI interfaces from a single, intuitive dashboard. It offers features like AI interface management, arguments manager, custom run commands, pre-launch actions, extension management, in-app tools like terminal and web browser, AI information dashboard, Discord integration, and additional features like theme options and favorite interface pinning. The platform supports modular design for custom AI modules and upcoming extensions system for complete customization. LynxHub aims to streamline AI workflow and enhance user experience with a user-friendly interface and comprehensive functionalities.

The HDU Computer Science Lecture Notes is a comprehensive guide designed to help students navigate through various challenges in the field of computer science. It covers topics such as programming languages, artificial intelligence, software development, and more. The notes provide insights on how to effectively utilize university time, balance grades with project experience, and make informed decisions regarding career paths. Created by a collaborative effort involving students, teachers, and industry experts, the lecture notes aim to serve as a guiding tool for individuals seeking guidance in the computer science domain.

Bitcart is a platform designed for merchants, users, and developers, providing easy setup and usage. It includes various linked repositories for core daemons, admin panel, ready store, Docker packaging, Python library for coins connection, BitCCL scripting language, documentation, and official site. The platform aims to simplify the process for merchants and developers to interact and transact with cryptocurrencies, offering a comprehensive ecosystem for managing transactions and payments.

Awesome-Lists is a curated list of awesome lists across various domains of computer science and beyond, including programming languages, web development, data science, and more. It provides a comprehensive index of articles, books, courses, open source projects, and other resources. The lists are organized by topic and subtopic, making it easy to find the information you need. Awesome-Lists is a valuable resource for anyone looking to learn more about a particular topic or to stay up-to-date on the latest developments in the field.

Weave is a toolkit for developing Generative AI applications, built by Weights & Biases. With Weave, you can log and debug language model inputs, outputs, and traces; build rigorous, apples-to-apples evaluations for language model use cases; and organize all the information generated across the LLM workflow, from experimentation to evaluations to production. Weave aims to bring rigor, best-practices, and composability to the inherently experimental process of developing Generative AI software, without introducing cognitive overhead.

AgentCloud is an open-source platform that enables companies to build and deploy private LLM chat apps, empowering teams to securely interact with their data. It comprises three main components: Agent Backend, Webapp, and Vector Proxy. To run this project locally, clone the repository, install Docker, and start the services. The project is licensed under the GNU Affero General Public License, version 3 only. Contributions and feedback are welcome from the community.

This framework generates fuzz targets for real-world `C`/`C++` projects with various Large Language Models (LLM) and benchmarks them via the `OSS-Fuzz` platform. It manages to successfully leverage LLMs to generate valid fuzz targets (which generate non-zero coverage increase) for 160 C/C++ projects. The maximum line coverage increase is 29% from the existing human-written targets.

LLMStack is a no-code platform for building generative AI agents, workflows, and chatbots. It allows users to connect their own data, internal tools, and GPT-powered models without any coding experience. LLMStack can be deployed to the cloud or on-premise and can be accessed via HTTP API or triggered from Slack or Discord.

The VisionCraft API is a free API for using over 100 different AI models. From images to sound.

Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

PyRIT is an open access automation framework designed to empower security professionals and ML engineers to red team foundation models and their applications. It automates AI Red Teaming tasks to allow operators to focus on more complicated and time-consuming tasks and can also identify security harms such as misuse (e.g., malware generation, jailbreaking), and privacy harms (e.g., identity theft). The goal is to allow researchers to have a baseline of how well their model and entire inference pipeline is doing against different harm categories and to be able to compare that baseline to future iterations of their model. This allows them to have empirical data on how well their model is doing today, and detect any degradation of performance based on future improvements.

The Azure-Analytics-and-AI-Engagement repository provides packaged Industry Scenario DREAM Demos with ARM templates (Containing a demo web application, Power BI reports, Synapse resources, AML Notebooks etc.) that can be deployed in a customer’s subscription using the CAPE tool within a matter of few hours. Partners can also deploy DREAM Demos in their own subscriptions using DPoC.