Search Results for "microsoft train simulator"

Showing 12 open source projects for "microsoft train simulator"

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  • 1
    TextWorld

    TextWorld

    ​TextWorld is a sandbox learning environment for the training

    TextWorld is a learning environment designed to train reinforcement learning agents to play text-based games, where actions and observations are entirely in natural language. Developed by Microsoft Research, TextWorld focuses on language understanding, planning, and interaction in complex, narrative-driven environments. It generates games procedurally, enabling scalable testing of agents’ natural language processing and decision-making abilities.
    Downloads: 7 This Week
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  • 2
    PennyLane

    PennyLane

    A cross-platform Python library for differentiable programming

    ...Install plugins to run your computational circuits on more devices, including Strawberry Fields, Amazon Braket, Qiskit and IBM Q, Google Cirq, Rigetti Forest, and the Microsoft QDK.
    Downloads: 1 This Week
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  • 3
    Agent Lightning

    Agent Lightning

    The absolute trainer to light up AI agents

    Agent Lightning is an open-source framework developed by Microsoft to train and optimize AI agents using techniques like reinforcement learning (RL), supervised fine-tuning, and automatic prompt optimization, with minimal or zero changes to existing agent code. It’s designed to be compatible with a wide range of agent architectures and frameworks — from LangChain and OpenAI Agent SDKs to AutoGen and custom Python agents — making it broadly applicable across different agent tooling ecosystems. ...
    Downloads: 0 This Week
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  • 4
    DALL-E in Pytorch

    DALL-E in Pytorch

    Implementation / replication of DALL-E, OpenAI's Text to Image

    Implementation / replication of DALL-E (paper), OpenAI's Text to Image Transformer, in Pytorch. It will also contain CLIP for ranking the generations. Kobiso, a research engineer from Naver, has trained on the CUB200 dataset here, using full and deepspeed sparse attention. You can also skip the training of the VAE altogether, using the pretrained model released by OpenAI! The wrapper class should take care of downloading and caching the model for you auto-magically. You can also use the...
    Downloads: 0 This Week
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  • 5
    PromptCraft-Robotics

    PromptCraft-Robotics

    Community for applying LLMs to robotics and a robot simulator

    The PromptCraft-Robotics repository serves as a community for people to test and share interesting prompting examples for large language models (LLMs) within the robotics domain. We also provide a sample robotics simulator (built on Microsoft AirSim) with ChatGPT integration for users to get started. We currently focus on OpenAI's ChatGPT, but we also welcome examples from other LLMs (for example open-sourced models or others with API access such as GPT-3 and Codex).
    Downloads: 0 This Week
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  • 6
    AI Chatbots based on GPT Architecture

    AI Chatbots based on GPT Architecture

    Training & Implementation of chatbots leveraging GPT-like architecture

    Training & Implementation of chatbots leveraging GPT-like architecture with the aitextgen package to enable dynamic conversations. It sure seems like there are a lot of text-generation chatbots out there, but it's hard to find a python package or model that is easy to tune around a simple text file of message data. This repo is a simple attempt to help solve that problem. ai-msgbot covers the practical use case of building a chatbot that sounds like you (or some dataset/persona you choose)...
    Downloads: 0 This Week
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  • 7
    Fairseq

    Fairseq

    Facebook AI Research Sequence-to-Sequence Toolkit written in Python

    Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers.
    Downloads: 1 This Week
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  • 8
    NeuroNER

    NeuroNER

    Named-entity recognition using neural networks

    Named-entity recognition (NER) aims at identifying entities of interest in the text, such as location, organization and temporal expression. Identified entities can be used in various downstream applications such as patient note de-identification and information extraction systems. They can also be used as features for machine learning systems for other natural language processing tasks. Leverages the state-of-the-art prediction capabilities of neural networks (a.k.a. "deep learning") Is...
    Downloads: 0 This Week
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  • 9
    Novus

    Novus

    Entrepreneurship Training Program

    The Novus Entrepreneurship Training Program contains 36 business and IT training videos, covering basic finance, accounting, marketing, economics, business strategy, Word, Excel, and PowerPoint. Users will have an opportunity to apply the lessons in the Novus Business Simulator. Over six rounds, the user or teams will have to make decisions on capital purchases, financing, production, financing, and human resources for a microbrewery.
    Downloads: 1 This Week
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  • 10
    Multiplayer framework for flight simulators. Based on M&S HLA 1.3 standards. Provides a 3D air traffic visualization tool and HLA plug-ins for FlightGear, Microsoft Flight Simulator X and X-Plane.
    Downloads: 0 This Week
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  • 11
    Flight Simulator Add-On Installer is a tool to build standard setup programs for Microsoft Flight Simulator add-ons. It provides a GUI for the author, and a typical setup wizard for the end user, who doesn't have to deal with manual installation.
    Downloads: 0 This Week
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  • 12
    An application/framework for accessing Microsoft Flight Simulator data.
    Downloads: 0 This Week
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