trigaten

Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community

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Code for Gym documentation website

MineRL Competition for Sample Efficient Reinforcement Learning - Python Package

Training a superhuman sword fighting agent with Reinforcement Learning and MineRL

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Privacy Policy FirstName LastName built the Heart Heist app as a Free app. This SERVICE is provided by FirstName LastName at no cost and is intended for use as is. This page is used to inform visitors regarding my policies with the collection, use, and disclosure of Personal Information if anyone decided to use my Service. If you choose to use my Service, then you agree to the collection and use of information in relation to this policy. The Personal Information that I collect is used for providing and improving the Service. I will not use or share your information with anyone except as described in this Privacy Policy. The terms used in this Privacy Policy have the same meanings as in our Terms and Conditions, which is accessible at Heart Heist unless otherwise defined in this Privacy Policy. Information Collection and Use For a better experience, while using our Service, I may require you to provide us with certain personally identifiable information. The information that I request will be retained on your device and is not collected by me in any way. The app does use third party services that may collect information used to identify you. Link to privacy policy of third party service providers used by the app Google Play Services Log Data I want to inform you that whenever you use my Service, in a case of an error in the app I collect data and information (through third party products) on your phone called Log Data. This Log Data may include information such as your device Internet Protocol (“IP”) address, device name, operating system version, the configuration of the app when utilizing my Service, the time and date of your use of the Service, and other statistics. Cookies Cookies are files with a small amount of data that are commonly used as anonymous unique identifiers. These are sent to your browser from the websites that you visit and are stored on your device's internal memory. This Service does not use these “cookies” explicitly. However, the app may use third party code and libraries that use “cookies” to collect information and improve their services. You have the option to either accept or refuse these cookies and know when a cookie is being sent to your device. If you choose to refuse our cookies, you may not be able to use some portions of this Service. Service Providers I may employ third-party companies and individuals due to the following reasons: To facilitate our Service; To provide the Service on our behalf; To perform Service-related services; or To assist us in analyzing how our Service is used. I want to inform users of this Service that these third parties have access to your Personal Information. The reason is to perform the tasks assigned to them on our behalf. However, they are obligated not to disclose or use the information for any other purpose. Security I value your trust in providing us your Personal Information, thus we are striving to use commercially acceptable means of protecting it. But remember that no method of transmission over the internet, or method of electronic storage is 100% secure and reliable, and I cannot guarantee its absolute security. Links to Other Sites This Service may contain links to other sites. If you click on a third-party link, you will be directed to that site. Note that these external sites are not operated by me. Therefore, I strongly advise you to review the Privacy Policy of these websites. I have no control over and assume no responsibility for the content, privacy policies, or practices of any third-party sites or services. Children’s Privacy These Services do not address anyone under the age of 13. I do not knowingly collect personally identifiable information from children under 13. In the case I discover that a child under 13 has provided me with personal information, I immediately delete this from our servers. If you are a parent or guardian and you are aware that your child has provided us with personal information, please contact me so that I will be able to do necessary actions. Changes to This Privacy Policy I may update our Privacy Policy from time to time. Thus, you are advised to review this page periodically for any changes. I will notify you of any changes by posting the new Privacy Policy on this page. These changes are effective immediately after they are posted on this page. Contact Us If you have any questions or suggestions about my Privacy Policy, do not hesitate to contact me.

Textbook on reinforcement learning from human feedback

The Prompt Report: A Systematic Survey of Prompting Techniques

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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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A playbook for effectively prompting post-trained LLMs

⚡ Building applications with LLMs through composability ⚡

Tune LLM in few lines of code

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A little Python library for making simple Electron-like HTML/JS GUI apps

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

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A repo where I store my Reinforcement Learning and other projects

Remark-bibtex is a remark plugin to generate footnoted citations from a bibtex file.

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Portfolio website for my boy sander

Specify what you want it to build, the AI asks for clarification, and then builds it.

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The fastest way to develop full-stack web apps with React & Node.js.

DSPy: The framework for programming—not prompting—foundation models

An ultra fast and easy-to-use TypeScript/JavaScript compiler

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My RL algo implementations

Docusaurus.community - Collecting knowledge, tips and tricks for Docusaurus.

The React Framework

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Relax! Flux is the ML library that doesn't make you tensor

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Supervised and RL Models for No Press Diplomacy

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A toolkit for developing and comparing reinforcement learning algorithms.

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Gym for multi-agent reinforcement learning

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

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(Genetic Learning Project)

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Stack-based workflow tool (currently terminal only)

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Google Sheets API based native plants garden site

Animation engine for explanatory math videos

Pytorch-tensorboard simple tutorial and example for a beginner

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

using the real sense for a responsive video animation

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Karate Club clustering metrics experiments

Identify email addresses or domains names that belong to colleges or universities. Help automate the process of approving or rejecting academic discounts.

An Open Source Machine Learning Framework for Everyone