Best AI tools for< Learn Code >

Replit is a software creation platform that provides an integrated development environment (IDE), artificial intelligence (AI) assistance, and deployment services. It allows users to build, test, and deploy software projects directly from their browser, without the need for local setup or configuration. Replit offers real-time collaboration, code generation, debugging, and autocompletion features powered by AI. It supports multiple programming languages and frameworks, making it suitable for a wide range of development projects.

This tool uses AI to explain any piece of code you don't understand. Simply paste the code in the code editor and press "Explain Code" and AI will output a paragraph explaining what the code is doing.

AI Code Translator is an online tool that allows users to translate code or natural language into multiple programming languages. It is powered by artificial intelligence (AI) and provides intelligent and efficient code translation. With AI Code Translator, developers can save time and effort by quickly converting code between different languages, optimizing their development process.

Hugo is a personal GPT powered AI code mentor that helps you learn to code by providing real-time feedback and guidance. It is designed to be a comprehensive and interactive learning tool that can help you master the basics of coding and advance your skills.

Codiga is a static code analysis tool that helps developers write clean, safe, and secure code. It works in real-time in your IDE and CI/CD pipelines, and it can be customized to meet your specific needs. Codiga supports a wide range of languages and frameworks, and it integrates with popular tools like GitHub, GitLab, and Bitbucket.

Codeium is a free AI-powered code completion and chat tool that helps developers write better code faster. It provides real-time suggestions and autocompletes code as you type, making it easier to write complex code without having to worry about syntax errors. Codeium also includes a chat feature that allows developers to ask questions and get help from other developers in the community.

Codeium is a free AI-powered code completion and chat tool that helps developers write better code faster. It provides real-time suggestions and documentation, and can even generate entire code snippets. Codeium is also a great way to learn new programming languages and concepts.

AICorr.com is a website offering free coding tutorials with a focus on artificial intelligence, data science, machine learning, and statistics. Users can learn and practice coding in Python and SQL, explore projects with real data, and access a wealth of information in an easy-to-understand format. The website aims to provide up-to-date and relevant information to a global audience, ensuring a seamless learning experience for all.

Blackbox is an AI-powered code generation, code chat, and code search tool that helps developers write better code faster. With Blackbox, you can generate code snippets, chat with an AI assistant about code, and search for code examples from a massive database.

Coddy is an AI-powered coding assistant that helps developers write better code faster. It provides real-time feedback, code completion, and error detection, making it the perfect tool for both beginners and experienced developers. Coddy also integrates with popular development tools like Visual Studio Code and GitHub, making it easy to use in your existing workflow.

Safurai is an AI-powered coding assistant that helps developers write code faster, safer, and better. It offers a range of features, including a textbox for asking questions and getting code suggestions, shortcuts for code optimization and unit testing, the ability to train the assistant on specific projects, and a natural language search for finding code. Safurai is compatible with various IDEs, including Visual Studio Code, IntelliJ, and PyCharm.

NoAGI is an AI tool that helps you write better code. It uses natural language processing to understand your code and suggest improvements. NoAGI can help you with a variety of coding tasks, including code generation, code completion, and code refactoring.

Microsoft Copilot is an AI-powered coding assistant that helps developers write better code, faster. It provides real-time suggestions and code completions, and can even generate entire functions and classes. Copilot is available as a Visual Studio Code extension and as a standalone application.

Hackerman is an AI-first text editor that helps developers write code faster and more efficiently. It uses artificial intelligence to provide real-time feedback on your code, suggest code completions, and identify potential errors. Hackerman is designed to make coding more accessible and enjoyable for developers of all levels.

GPTConsole is an AI-powered platform that helps developers build production-ready applications faster and more efficiently. Its AI agents can generate code for a variety of applications, including web applications, AI applications, and landing pages. GPTConsole also offers a range of features to help developers build and maintain their applications, including an AI agent that can learn your entire codebase and answer your questions, and a CLI tool for accessing agents directly from the command line.

Refraction is a code generation tool that uses AI to help developers write better code. It can be used to generate unit tests, documentation, refactor code, and more. Refraction is designed for developers of all levels and can be used with a variety of programming languages and frameworks.

Refraction is an AI-powered code generation tool designed to help developers learn, improve, and generate code effortlessly. It offers a wide range of features such as bug detection, code conversion, function creation, CSP generation, CSS style conversion, debug statement addition, diagram generation, documentation creation, code explanation, code improvement, concept learning, CI/CD pipeline creation, SQL query generation, code refactoring, regex generation, style checking, type addition, and unit test generation. With support for 56 programming languages, Refraction is a versatile tool trusted by innovative companies worldwide to streamline software development processes using the magic of AI.

Taiga is an AI-powered coding mentor that integrates with Slack. It provides real-time feedback, guidance, and tailored recommendations to help users learn software engineering in a fun and interactive way. Taiga offers a wide range of features, including step-by-step guidance, real-time answers, personalized learning experiences, seamless Slack integration, and accessibility on multiple devices.

Practical Deep Learning for Coders is a free course designed for individuals with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. The course covers topics such as building and training deep learning models for computer vision, natural language processing, tabular analysis, and collaborative filtering problems. It is based on a 5-star rated book and does not require any special hardware or software. The course is led by Jeremy Howard, a renowned expert in machine learning and the President and Chief Scientist of Kaggle.

Learn Prompting is a free, open-source course that teaches you how to communicate with AI effectively and safely. It covers everything from the basics of AI communication to more advanced techniques, such as prompt engineering and gradient-based techniques. Learn Prompting also has a large Discord community of people who are interested in learning how to prompt. This makes it a great resource for anyone who wants to learn more about AI and how to use it effectively.

Sage is a tool that allows users to chat with any codebase, providing a chat interface for code understanding and integration. It simplifies the process of learning how a codebase works by offering heavily documented answers sourced directly from the code. Users can set up Sage locally or on the cloud with minimal effort. The tool is designed to be easily customizable, allowing users to swap components of the pipeline and improve the algorithms powering code understanding and generation.

Awesome LLM Courses is a curated list of online courses focused on Large Language Models (LLMs). The repository aims to provide a comprehensive collection of free available courses covering various aspects of LLMs, including fundamentals, engineering, and applications. The courses are suitable for individuals interested in natural language processing, AI development, and machine learning. The list includes courses from reputable platforms such as Hugging Face, Udacity, DeepLearning.AI, Cohere, DataCamp, and more, offering a wide range of topics from pretraining LLMs to building AI applications with LLMs. Whether you are a beginner looking to understand the basics of LLMs or an intermediate developer interested in advanced topics like prompt engineering and generative AI, this repository has something for everyone.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

This repository is a compilation of excellent ML and DL tutorials created by various individuals and organizations. It covers a wide range of topics, including machine learning fundamentals, deep learning, computer vision, natural language processing, reinforcement learning, and more. The resources are organized into categories, making it easy to find the information you need. Whether you're a beginner or an experienced practitioner, you're sure to find something valuable in this repository.

This repository tracks the latest research on machine unlearning in large language models (LLMs). It offers a comprehensive list of papers, datasets, and resources relevant to the topic.

Claude Coder is an AI-powered coding companion in the form of a VS Code extension that helps users transform ideas into code, convert designs into applications, debug intuitively, accelerate development with automation, and improve coding skills. It aims to bridge the gap between imagination and implementation, making coding accessible and efficient for developers of all skill levels.

Bert-VITS2 is a repository that provides a backbone with multilingual BERT for text-to-speech (TTS) applications. It offers an alternative to BV2/GSV projects and is inspired by the MassTTS project. Users can refer to the code to learn how to train models for TTS. The project is not maintained actively in the short term. It is not to be used for any purposes that violate the laws of the People's Republic of China, and strictly prohibits any political-related use.

LLM-PLSE-paper is a repository focused on the applications of Large Language Models (LLMs) in Programming Language and Software Engineering (PL/SE) domains. It covers a wide range of topics including bug detection, specification inference and verification, code generation, fuzzing and testing, code model and reasoning, code understanding, IDE technologies, prompting for reasoning tasks, and agent/tool usage and planning. The repository provides a comprehensive collection of research papers, benchmarks, empirical studies, and frameworks related to the capabilities of LLMs in various PL/SE tasks.

Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of code. What makes Semantic Kernel _special_ , however, is its ability to _automatically_ orchestrate plugins with AI. With Semantic Kernel planners, you can ask an LLM to generate a plan that achieves a user's unique goal. Afterwards, Semantic Kernel will execute the plan for the user.

Semantic Kernel for Java is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. It allows defining plugins that can be chained together in just a few lines of code. The tool automatically orchestrates plugins with AI, enabling users to generate plans to achieve unique goals and execute them. The project welcomes contributions, bug reports, and suggestions from the community.

LangChain Decorators is a layer on top of LangChain that provides syntactic sugar for writing custom langchain prompts and chains. It offers a more pythonic way of writing code, multiline prompts without breaking code flow, IDE support for hinting and type checking, leveraging LangChain ecosystem, support for optional parameters, and sharing parameters between prompts. It simplifies streaming, automatic LLM selection, defining custom settings, debugging, and passing memory, callback, stop, etc. It also provides functions provider, dynamic function schemas, binding prompts to objects, defining custom settings, and debugging options. The project aims to enhance the LangChain library by making it easier to use and more efficient for writing custom prompts and chains.

OpenCopilot is a tool that allows users to create their own AI copilot for their products. It integrates with APIs to execute calls as needed, using LLMs to determine the appropriate endpoint and payload. Users can define API actions, validate schemas, and integrate a user-friendly chat bubble into their SaaS app. The tool is capable of calling APIs, transforming responses, and populating request fields based on context. It is not suitable for handling large APIs without JSON transformers. Users can teach the copilot via flows and embed it in their app with minimal code.

TurnkeyML is a tools framework that integrates models, toolchains, and hardware backends to simplify the evaluation and actuation of deep learning models. It supports use cases like exporting ONNX files, performance validation, functional coverage measurement, stress testing, and model insights analysis. The framework consists of analysis, build, runtime, reporting tools, and a models corpus, seamlessly integrated to provide comprehensive functionality with simple commands. Extensible through plugins, it offers support for various export and optimization tools and AI runtimes. The project is actively seeking collaborators and is licensed under Apache 2.0.

OpenCopilot allows you to have your own product's AI copilot. It integrates with your underlying APIs and can execute API calls whenever needed. It uses LLMs to determine if the user's request requires calling an API endpoint. Then, it decides which endpoint to call and passes the appropriate payload based on the given API definition.

Windows Agent Arena (WAA) is a scalable Windows AI agent platform designed for testing and benchmarking multi-modal, desktop AI agents. It provides researchers and developers with a reproducible and realistic Windows OS environment for AI research, enabling testing of agentic AI workflows across various tasks. WAA supports deploying agents at scale using Azure ML cloud infrastructure, allowing parallel running of multiple agents and delivering quick benchmark results for hundreds of tasks in minutes.

GitHub Copilot is an AI-powered tool that offers autocomplete-style suggestions for coding in VS Code and Codespaces. It analyzes the context in the file being edited and related files to provide code and comment suggestions. This tool is designed for developers, DevOps engineers, software development managers, and testers. Users can learn how to install Copilot, accept suggestions from code and comments, and build JavaScript files with code generated by the AI. To use GitHub Copilot, a subscription is required, and the course can be completed in under an hour.

This repository provides an LLM-driven audio codec model, LLM-Codec, for building multi-modal LLMs (text and audio modalities). The model enables frozen LLMs to achieve multiple audio tasks in a few-shot style without parameter updates. It compresses the audio modality into a well-trained LLMs token space, treating audio representation as a 'foreign language' that LLMs can learn with minimal examples. The proposed approach supports tasks like speech emotion classification, audio classification, text-to-speech generation, speech enhancement, etc., demonstrating feasibility and effectiveness in simple scenarios. The LLM-Codec model is open-sourced to facilitate research on few-shot audio task learning and multi-modal LLMs.

llm_illustrated is an electronic book that visually explains various technical aspects of large language models using clear and easy-to-understand images. The book covers topics such as self-attention structure and code, absolute position encoding, KV cache visualization, transformers composition, and a relationship graph of participants in the Dartmouth Conference. The progress of the book is less than 10%, and readers can stay updated by following the WeChat official account and replying 'learn large models through images'. The PDF layout and Latex formatting are still being adjusted.

Robocode Tank Royale is a programming game where the goal is to code a bot in the form of a virtual tank to compete against other bots in a virtual battle arena. The player is the programmer of a bot, who will have no direct influence on the game him/herself. Instead, the player must write a program with the logic for the brain of the bot. The program contains instructions to the bot about how it should move, scan for opponent bots, fire its gun, and how it should react to various events occurring during a battle. The name **Robocode** is short for "Robot code," which originates from the original/first version of the game. **Robocode Tank Royale** is the next evolution/version of the game, where bots can participate via the Internet/network. All bots run over a web socket. The game aims to help you learn how to program and improve your programming skills, and have fun while doing it. Robocode is also useful when studying or improving machine learning in a fast-running real-time game. Robocode's battles take place on a "battlefield," where bots fight it out until only one is left, like a Battle Royale game. Hence the name **Tank Royale**. Note that Robocode contains no gore, blood, people, and politics. The battles are simply for the excitement of the competition we appreciate so much.

Learn coding in an interactive process using metaphors and analogies for simplified understanding.

Learn & code RL with me!

Provides in-depth Golang code reviews, explanations, and fixes.

This GPT will help people learn to code in Python

Analogy-based coding tutor

Convert between text and morse code

What assistance do you require?

Your test-driven coding tutor.

Interactive AI orchestrating dialogues with experts in coding projects

ADHD-friendly coding coach by: Advanced Divergent Human Development

Guides on Dr. Racket templates per CS 2500.

Cute character will provide you great HTML and CSS drawings.

Your own personal senior software engineer mentor critiquing and optimizing your code helping your improve.

Friendly C# guide with code examples, in easy Korean. 쉬운 한국어로 작성된 코드 예제가 포함된 친절한 C# 가이드입니다.

GitHub-integrated AI for coding assistance and project management.

A detailed expert trained on all 72,000 pages of Apple Foundation, offering complete coding solutions. Saving time? https://www.buymeacoffee.com/parkerrex ☕️❤️

I craft tests first, then code, validating new features.

Accurate mentor on TDD, emphasizing one test at a time.

Learn coding with the ultimate coding tutor!

Dedicated to teaching every spanish speaker how to code! Stop by and say hola!