Search Results for "ai coding for beginners"
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Showing 12 open source projects for "ai coding for beginners"
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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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AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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CodeGeeX
CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)
CodeGeeX is a large-scale multilingual code generation model with 13 billion parameters, trained on 850B tokens across more than 20 programming languages. Developed with MindSpore and later made PyTorch-compatible, it is capable of multilingual code generation, cross-lingual code translation, code completion, summarization, and explanation. It has been benchmarked on HumanEval-X, a multilingual program synthesis benchmark introduced alongside the model, and achieves state-of-the-art... -
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QodeAssist
QodeAssist is an AI-powered coding assistant plugin for Qt Creator
QodeAssist is an AI-powered coding assistant plugin specifically designed for Qt Creator, bringing modern AI capabilities directly into a C++ and QML development environment. It provides intelligent code completion, inline refactoring, and conversational chat interfaces that can appear as popups, side panels, or embedded views within the IDE. The plugin supports both local and cloud-based language model providers, including Ollama, llama.cpp, OpenAI, Claude, and others, allowing developers to choose between privacy-focused local setups or more powerful remote models. ... -
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Step 3.5 Flash
Fast, Sharp & Reliable Agentic Intelligence
...Its design targets deep reasoning, long-context handling, coding, and real-time responsiveness, making it suitable for building autonomous agents, advanced assistants, and long-chain cognitive workflows without sacrificing performance. -
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AsmJit
Low-latency machine code generation
AsmJit is a low-level code generation library designed for dynamically creating machine code at runtime, enabling just-in-time (JIT) compilation for performance-critical applications. It provides a high-level API that abstracts away the complexity of writing raw assembly while still allowing fine-grained control over instruction generation. The library supports multiple architectures, including x86 and x64, making it versatile for cross-platform development. It is commonly used in... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Cheetah
AI macOS app for real-time coding interview coaching assistance
Cheetah is an AI-powered macOS application designed to assist users during software engineering interview practice through real-time coaching capabilities. It integrates audio transcription and AI-generated responses to help users navigate technical interview questions as they happen. Cheetah uses a local speech-to-text engine based on Whisper to capture and transcribe conversations in real time, enabling it to understand interviewer prompts. -
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The Art of Programming
A collection of practical tips can be found at the bottom of this page
The Art of Programming (Second Edition) is a curated collection of programming problems and solutions originally derived from the Microsoft 100 Interview Questions blog series, later refined into a long-running tutorial and ultimately a published book. Created by July, the series began in 2010 and has since evolved into an in-depth exploration of algorithmic thinking, data structures, and coding interview preparation. The repository brings together 42 classic programming problems from the... -
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CodeContests
Large dataset of coding contests designed for AI and ML model training
CodeContests, developed by Google DeepMind, is a large-scale competitive programming dataset designed for training and evaluating machine learning models on code generation and problem solving. This dataset played a central role in the development of AlphaCode, DeepMind’s model for solving programming problems at a human-competitive level, as published in Science. CodeContests aggregates problems and human-written solutions from multiple programming competition platforms, including AtCoder,... -
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RedSky Ruby - Vinari Software & DO Dev
Ruby nunca ha sido tan fácil! - Ruby has never been so easy!
...RedSky Ruby, permite a cualquier persona comenzar a programar en Ruby, pues incorpora la guía oficial de Ruby, además de esto, RedSky Ruby es compatible con cualquier de computador corriendo Windows 8 o posterior, por lo cual, no es requerido un computador increíblemente poderoso para correrlo. ¿Por que no comienzas a programar ya? A simple and powerful IDE for Ruby has arrived to Microsoft Windows. RedSky Ruby, allows everyone to begin coding in Ruby, thanks to the fact that includes the official Ruby beginners guide, also, RedSky Ruby is compatible with any computer running Windows 8 and forward, this ensures that a powerful computer is not required to run it. Why aren’t you coding now? RedSky Ruby esta protegido bajo la licencia BSD RedSky Ruby es propiedad de Vinari Software & DO Development -
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JCppEdit v4.0
Best IDE for Beginners
JCppEdit is a free as well as "best IDE for Beginners" and is your one-stop IDE for all your coding needs. Whether you need to finish your Java project or submit your first HTML web page or perhaps have a need to code in C language while executing a java program into a Java IDE, JCppEdit will help you achieve your goals easily. Exploring your project and detecting an error in your code is much easier. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Caffe Framework
Caffe, a fast open framework for deep learning
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. ... -
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C++ template library that is free to use. Mostly of beginners because of the straight forward coding process. An attempt at making an easy to understand ADT foundation that can be customized to the needs of the developer.
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