OpenAI OpenAI gym AI technology Top Builders

Explore the top contributors showcasing the highest number of OpenAI OpenAI gym AI technology app submissions within our community.

OpenAI gym

Gym is a toolkit from OpenAI that offers a wide array of simulated environments (e.g. Atari games, board games, 2D and 3D physical simulations) for you to train agents, benchmark them, and create new Reinforcement Learning algorithms.

General
Relese dateApril 27, 2016
AuthorOpenAI
Repositoryhttps://github.com/openai/gym
TypeReinforcement Learning

Libraries

A curated list of libraries and technologies to help you play with OpenAI Gym.

  • Gym Library Gym is a standard API for reinforcement learning, and a diverse collection of reference environments
  • OpenAI Gym repository Gym is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API. Since its release, Gym's API has become the field standard for doing this.
  • Gymnasium Gymnasium is an open source Python library for developing and comparing reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API. This is a fork of OpenAI's Gym library

OpenAI OpenAI gym AI technology Hackathon projects

Discover innovative solutions crafted with OpenAI OpenAI gym AI technology, developed by our community members during our engaging hackathons.

Basic Social App

Basic Social App

Basic Social App Finally a basic social media app basic.social | basicsocial.app | basicsocial.ai Introduction: Basic Social App is a simple social media platform designed for effortless user engagement and connectivity. Unlike traditional social media applications, it emphasizes simplicity in user on-boarding and interaction, allowing users to quickly share their thoughts and connect with others through AI-driven recommendations. How it works: Step 1: User on-boarding User can easily on-board with just phone number or email. We allow users to follow otp based login. Step 2: What’s on mind User is prompted write, what’s on mind. He can also select few AI generated prompts as well. Step 3: Recommendations AI powered recommendations. AI understand the user interaction and then starts recommending the best content, people, services, apps, subscriptions. Step 4: Creators Users can create content, reels, text, audios, ads, news etc and rather than spending lot of time in hastags or other meta data. They can simple specify whom to show. Step 5: Organizations | Marketers Organizations rather than spending lot of money on marketing to large unclear audience, With Basic.Social they can clearly reach their potential clients immediately. Hence a basic social media app. Features: AI Recommendation Chat Voice Call Video Call Feed Analytics Content creation tools Unique Selling Points (USP) Effortless On-boarding: Users can join the platform using just their phone number or email with OTP authentication, eliminating the need for extensive profile creation. AI-Powered Connectivity: AI algorithms help users connect with millions of other users with similar interests and thoughts, enhancing engagement and community building. Marketing Innovation: Marketers and organizations can reach users by offering freebies, fostering a more organic and engaging form of advertisement. Minimalist Design: The app focuses on simplicity and usability.

Adapt-a-RAG

Adapt-a-RAG

Introduction Adapt-a-RAG is an innovative application that leverages the power of retrieval augmented generation to provide accurate and relevant answers to user queries. By adapting itself to each query, Adapt-a-RAG ensures that the generated responses are tailored to the specific needs of the user. The application utilizes various data sources, including documents, GitHub repositories, and websites, to gather information and generate synthetic data. This synthetic data is then used to optimize the prompts of the Adapt-a-RAG application, enabling it to provide more accurate and contextually relevant answers. How It Works Adapt-a-RAG works by following these key steps: Data Collection: The application collects data from various sources, including documents, GitHub repositories, and websites. It utilizes different reader classes such as CSVReader, DocxReader, PDFReader, ChromaReader, and SimpleWebPageReader to extract information from these sources. Synthetic Data Generation: Adapt-a-RAG generates synthetic data using the collected data. It employs techniques such as data augmentation and synthesis to create additional training examples that can help improve the performance of the application. Prompt Optimization: The synthetic data is used to optimize the prompts of the Adapt-a-RAG application. By fine-tuning the prompts based on the generated data, the application can generate more accurate and relevant responses to user queries. Recompilation: Adapt-a-RAG recompiles itself every run based on the optimized prompts and the specific user query. This dynamic recompilation allows the application to adapt and provide tailored responses to each query. Question Answering: Once recompiled, Adapt-a-RAG takes the user query and retrieves relevant information from the collected data sources. It then generates a response using the optimized prompts and the retrieved information, providing accurate and contextually relevant answers to the user.

Clear Speak

Clear Speak

The SaaS (Software as a Service) product is a powerful speech analysis tool that utilizes state-of-the-art speech-to-text technology to transcribe recorded audio and analyze it for various speech patterns. The tool identifies areas where the user may need to improve their speech, including reducing stuttering and improving clarity and coherence. Once the audio is transcribed, the tool provides users with in-depth statistics on their speech patterns, including word frequency, common mistakes, and areas that need improvement. These statistics are displayed in an easy-to-understand format that allows users to quickly identify their strengths and weaknesses. One of the most unique aspects of the tool is its ability to give real-time feedback on speech patterns. As users speak, the tool analyzes their speech in real-time and offers suggestions on how to improve their communication skills. This feedback is critical for users who want to improve their speech in real-life situations and gain confidence in their ability to communicate effectively. The tool also provides personalized suggestions for each user based on their speech patterns and areas for improvement. For example, if the tool identifies that a user tends to stutter on certain words or phrases, it will offer personalized exercises and techniques to help them reduce their stuttering and speak more fluently. Overall, the speech analysis SaaS product is an invaluable tool for anyone looking to improve their communication skills, reduce stuttering, and gain confidence in their ability to speak effectively. With its cutting-edge speech-to-text technology and real-time feedback, the tool offers a powerful solution for anyone looking to improve their speech and become a more effective communicator.