Best AI tools for< Ai Software Developer >

Dhime is an AI-powered dance coaching application that allows users to learn dance conveniently from expert video tutorials, practice with AI guidance and feedback, and improve their dance skills with confidence. It offers unlimited practice, personalized lessons, and continuous progress tracking for effective learning. Dhime serves as a platform for both tutors and dance academies to reach worldwide students and enhance their teaching methods. The application ensures privacy by recording and analyzing dance videos internally without sharing them externally. With Dhime, users can learn dance anytime, anywhere, and at their own pace.

Google DeepMind is an AI research company that aims to develop artificial intelligence technologies to benefit the world. They focus on creating next-generation AI systems to solve complex scientific and engineering challenges. Their models like Gemini, Veo, Imagen 3, SynthID, and AlphaFold are at the forefront of AI innovation. DeepMind also emphasizes responsibility, safety, education, and career opportunities in the field of AI.

Poker Bot AI+ is an advanced poker AI application that offers fully automated poker bots powered by neural networks and machine learning. The application provides a suite of products to enhance poker gameplay, including automated online poker bots, AI advisor PokerX, Poker Ecology service, poker skill development with AI-guided tips, and Android-based poker farms on emulators. It supports various poker games and rooms, ensuring optimal decision-making for players. The software guarantees secure gameplay by emulating human behavior and safeguarding user identity. Before purchasing, the effectiveness of the poker bot is demonstrated privately. Poker Bot AI+ aims to revolutionize the poker industry with cutting-edge AI technology.

Relationship 2.0 is an AI-powered system designed to help individuals navigate through breakups, personal development, and rebuilding healthy relationships. By leveraging advanced AI technology, the platform offers personalized guidance, tailored plans, and expert advice to assist users in overcoming emotional challenges, understanding relationship dynamics, and fostering positive growth. Relationship 2.0 aims to provide a comprehensive solution for individuals seeking to improve themselves and reconnect with their ex-partners in a healthy and sustainable manner.

Moreh is an AI platform that aims to make hyperscale AI infrastructure more accessible for scaling any AI model and application. It provides a full-stack infrastructure software from PyTorch to GPUs for the LLM era, enabling users to train large language models efficiently and effectively.

AiJobster is a specialized platform designed for job seekers interested in AI-related positions. It focuses on connecting individuals with job opportunities in AI companies and remote AI jobs. The platform provides a user-friendly interface that allows users to search for AI jobs easily. By enabling JavaScript, users can access the full functionality of the app, including job listings, company profiles, and application submission.

Wayve is a pioneering AI technology company focused on advancing end-to-end autonomous driving research and developing advanced AI solutions for safer and smarter driving. Their breakthrough AI technology empowers vehicles to perceive, predict, and progress through dynamic environments, learning from human behavior to confidently navigate unexpected situations with unprecedented intuition, accuracy, and reliability. Wayve's AI Driver software equips vehicles with advanced human-like driving capabilities, designed for safety and adaptability to unseen situations without the need for HD maps. The company partners with top experts to develop commercial-scale AV2.0 technology, aiming to reshape mobility's future with generation-defining AI technology.

Reality AI Software is an Edge AI software development environment that combines advanced signal processing, machine learning, and anomaly detection on every MCU/MPU Renesas core. The software is underpinned by the proprietary Reality AI ML algorithm that delivers accurate and fully explainable results supporting diverse applications. It enables features like equipment monitoring, predictive maintenance, and sensing user behavior and the surrounding environment with minimal impact on the Bill of Materials (BoM). Reality AI software running on Renesas processors helps deliver endpoint intelligence in products across various markets.

EDHGen.AI is an AI-powered Magic the Gathering (MTG) Deck Builder that allows users to effortlessly generate Commander decks. By leveraging advanced algorithms and machine learning technology, EDHGen.AI analyzes the metagame using Scryfall & EDHRec to create unique and exciting gameplay experiences. Say goodbye to the stress of deck building and hello to unpredictable strategies with this exclusive EDH Deck Builder.

FeelMe AI is a patented technology that offers a unique interactive experience in the world of adult entertainment. By combining AI and interactive sex tech, FeelMe AI allows users to physically feel the content they are watching in real time. The platform supports a variety of interactive toys and works seamlessly with over 200 popular porn sites. With machine-learning video recognition software, FeelMe AI provides a next-gen, low-cost alternative to manually scripted content, offering users infinite pleasure and immersive experiences.

OpenDevin is a platform for autonomous software engineers powered by AI and LLMs. It allows human developers to collaborate with agents to write code, fix bugs, and ship features. The tool operates in a secured docker sandbox and provides access to different LLM providers for advanced configuration options. Users can contribute to the project through code contributions, research and evaluation of LLMs in software engineering, and providing feedback and testing. OpenDevin is community-driven and welcomes contributions from developers, researchers, and enthusiasts looking to advance software engineering with AI.

OpenDevin is an open-source project aiming to replicate Devin, an autonomous AI software engineer capable of executing complex engineering tasks and collaborating actively with users on software development projects. The project aspires to enhance and innovate upon Devin through the power of the open-source community. Users can contribute to the project by developing core functionalities, frontend interface, or sandboxing solutions, participating in research and evaluation of LLMs in software engineering, and providing feedback and testing on the OpenDevin toolset.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

Awesome Generative AI is a curated list of modern Generative Artificial Intelligence projects and services. Generative AI technology creates original content like images, sounds, and texts using machine learning algorithms trained on large data sets. It can produce unique and realistic outputs such as photorealistic images, digital art, music, and writing. The repo covers a wide range of applications in art, entertainment, marketing, academia, and computer science.

Nous is an open-source TypeScript platform for autonomous AI agents and LLM based workflows. It aims to automate processes, support requests, review code, assist with refactorings, and more. The platform supports various integrations, multiple LLMs/services, CLI and web interface, human-in-the-loop interactions, flexible deployment options, observability with OpenTelemetry tracing, and specific agents for code editing, software engineering, and code review. It offers advanced features like reasoning/planning, memory and function call history, hierarchical task decomposition, and control-loop function calling options. Nous is designed to be a flexible platform for the TypeScript community to expand and support different use cases and integrations.

This repository contains the source code for the userspace level runtime driver for Coral devices. The software is distributed in binary form at coral.ai/software. Users can build the library using Docker + Bazel, Bazel, or Makefile methods. It supports building on Linux, macOS, and Windows. The library is used to enable the Edge TPU runtime, which may heat up during operation. Google does not accept responsibility for any loss or damage if the device is operated outside the recommended ambient temperature range.

AI Edge Torch is a Python library that supports converting PyTorch models into a .tflite format for on-device applications on Android, iOS, and IoT devices. It offers broad CPU coverage with initial GPU and NPU support, closely integrating with PyTorch and providing good coverage of Core ATen operators. The library includes a PyTorch converter for model conversion and a Generative API for authoring mobile-optimized PyTorch Transformer models, enabling easy deployment of Large Language Models (LLMs) on mobile devices.

EvoMaster is an open-source AI-driven tool that automatically generates system-level test cases for web/enterprise applications. It uses an Evolutionary Algorithm and Dynamic Program Analysis to evolve test cases, maximizing code coverage and fault detection. The tool supports REST, GraphQL, and RPC APIs, with whitebox testing for JVM-compiled languages. It generates JUnit tests, detects faults, handles SQL databases, and supports authentication. EvoMaster has been funded by the European Research Council and the Research Council of Norway.

Backend.AI Web UI is a user-friendly web and app interface designed to make AI accessible for end-users, DevOps, and SysAdmins. It provides features for session management, inference service management, pipeline management, storage management, node management, statistics, configurations, license checking, plugins, help & manuals, kernel management, user management, keypair management, manager settings, proxy mode support, service information, and integration with the Backend.AI Web Server. The tool supports various devices, offers a built-in websocket proxy feature, and allows for versatile usage across different platforms. Users can easily manage resources, run environment-supported apps, access a web-based terminal, use Visual Studio Code editor, manage experiments, set up autoscaling, manage pipelines, handle storage, monitor nodes, view statistics, configure settings, and more.

The STM32 AI model zoo is a collection of reference machine learning models optimized to run on STM32 microcontrollers. It provides a large collection of application-oriented models ready for re-training, scripts for easy retraining from user datasets, pre-trained models on reference datasets, and application code examples generated from user AI models. The project offers training scripts for transfer learning or training custom models from scratch. It includes performances on reference STM32 MCU and MPU for float and quantized models. The project is organized by application, providing step-by-step guides for training and deploying models.

The NVIDIA TensorRT Model Optimizer is a library designed to quantize and compress deep learning models for optimized inference on GPUs. It offers state-of-the-art model optimization techniques including quantization and sparsity to reduce inference costs for generative AI models. Users can easily stack different optimization techniques to produce quantized checkpoints from torch or ONNX models. The quantized checkpoints are ready for deployment in inference frameworks like TensorRT-LLM or TensorRT, with planned integrations for NVIDIA NeMo and Megatron-LM. The tool also supports 8-bit quantization with Stable Diffusion for enterprise users on NVIDIA NIM. Model Optimizer is available for free on NVIDIA PyPI, and this repository serves as a platform for sharing examples, GPU-optimized recipes, and collecting community feedback.

Intel® Extension for TensorFlow* is a high performance deep learning extension plugin based on TensorFlow PluggableDevice interface. It aims to accelerate AI workloads by allowing users to plug Intel CPU or GPU devices into TensorFlow on-demand, exposing the computing power inside Intel's hardware. The extension provides XPU specific implementation, kernels & operators, graph optimizer, device runtime, XPU configuration management, XPU backend selection, and options for turning on/off advanced features.

nncase is a neural network compiler for AI accelerators that supports multiple inputs and outputs, static memory allocation, operators fusion and optimizations, float and quantized uint8 inference, post quantization from float model with calibration dataset, and flat model with zero copy loading. It can be installed via pip and supports TFLite, Caffe, and ONNX ops. Users can compile nncase from source using Ninja or make. The tool is suitable for tasks like image classification, object detection, image segmentation, pose estimation, and more.

RK3588 is a flagship 8K SoC chip by Rockchip, integrating Cortex-A76 and Cortex-A55 cores with NEON coprocessor for 8K video codec. This repository curates resources for developing with RK3588, including official resources, RKNN models, projects, development boards, documentation, tools, and sample code.

WilmerAI is a middleware system designed to process prompts before sending them to Large Language Models (LLMs). It categorizes prompts, routes them to appropriate workflows, and generates manageable prompts for local models. It acts as an intermediary between the user interface and LLM APIs, supporting multiple backend LLMs simultaneously. WilmerAI provides API endpoints compatible with OpenAI API, supports prompt templates, and offers flexible connections to various LLM APIs. The project is under heavy development and may contain bugs or incomplete code.

Helicone is an open-source observability platform designed for Language Learning Models (LLMs). It logs requests to OpenAI in a user-friendly UI, offers caching, rate limits, and retries, tracks costs and latencies, provides a playground for iterating on prompts and chat conversations, supports collaboration, and will soon have APIs for feedback and evaluation. The platform is deployed on Cloudflare and consists of services like Web (NextJs), Worker (Cloudflare Workers), Jawn (Express), Supabase, and ClickHouse. Users can interact with Helicone locally by setting up the required services and environment variables. The platform encourages contributions and provides resources for learning, documentation, and integrations.

This repository is a curated list of open-source libraries for production large language models. It includes tools for data preprocessing, training/finetuning, evaluation/benchmarking, serving/inference, application/RAG, testing/monitoring, and guardrails/security. The repository also provides a new category called LLM Cookbook/Examples for showcasing examples and guides on using various LLM APIs.

Object Messaging and Intelligent Object Model for Deep AI integration with software

Je suis un assistant IA pour développeurs, spécialisé dans la fourniture de conseils techniques et de solutions de codage basées sur les meilleures pratiques et les tendances actuelles du développement logiciel.

Expert in C# programming, assisting with code, learning, and troubleshooting.

AI programming assistant specializing in clear, efficient coding

Assists with code review, pull requests, and writing tests.

First discusses assistant details, then implements tailored code solutions.

Fix yourself, rebuild and challenge yourself with code, unleash your inner beast!

Acts as a software engineer interviewer, asking questions in sequence.

コード作成、データ分析、イラスト作成、情報収集の得意な4人の優秀な部下たちがあなたの作業をサポートします。

Guiding you to become an AI and tech generalist

Expert on Computer Organization and Architecture

Bilingual AI expert in learning, drafting, coding, language, and summarizing.

Your ultimate guide for navigating AI tools in fields like video, audio, writing, from beginner to expert.

AI expert in lottery predictions for Mega Millions, Powerball, Cash 3, Fantasy 5, and all other state lotteries. Provides latest draw results and analysis.

AI assistant creating interview questions tailored to your company, the role, and candidates' background

Educational AI for programming and tech, fostering a supportive Arab youth community.

I'm an AI specialized in building resumes and cover letters with a human touch.

Provides realistic software developer responses. Asks for clarification, and won't make assumptions. Often begins responses with "It depends".

Your personal Software Developer career coach

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