Search Results for "artificial intelligence) program that learns"

Showing 365 open source projects for "artificial intelligence) program that learns"

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  • Run applications fast and securely in a fully managed environment Icon
    Run applications fast and securely in a fully managed environment

    Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of Google's scalable infrastructure.

    Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
  • Android Device Management for tablets, kiosks, POS, rugged devices, and more Icon
    Android Device Management for tablets, kiosks, POS, rugged devices, and more

    For single-use devices that are vertical specific like POS, Kiosk, ATM, Digital Signage, etc.

    Esper is the industry's most powerful and comprehensive solution for single-purpose Android Enterprise devices such as kiosks, tablets, mPoS, digital signage, and more. It offers powerful, intuitive features to configure, deploy, and manage the your devices. It empowers control over the enterprise Android device lifecycle, including hardware, firmware, app development, monitoring, and remote remediation. Esper is the first solution to combine custom OS, enhanced firmware, a complete DevOps toolchain, and endpoint detection and response. Esper's full-stack admin suite goes beyond a regular MDM with unprecedented support for device management, remote control, and real-time OTA updates. It's the only single-dashboard suite for remote device diagnostics, advanced telemetry and debugging.
  • 1

    Tesseract OCR

    Open Source OCR Engine

    Tesseract is an open source OCR or optical character recognition engine and command line program. OCR is a technology that allows for the recognition of text characters within a digital image. With the latest version of Tesseract, there is a greater focus on line recognition, however it still supports the legacy Tesseract OCR engine which recognizes character patterns. Tesseract can recognize over 100 languages out-of-the-box, and can be trained to recognize other languages. It supports...
    Downloads: 1,210 This Week
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  • 2
    DALL·E Mini

    DALL·E Mini

    Generate images from a text prompt

    DALL·E Mini, generate images from a text prompt. OpenAI had the first impressive model for generating images with DALL·E. Craiyon/DALL·E mini is an attempt at reproducing those results with an open-source model. The model is trained by looking at millions of images from the internet with their associated captions. Over time, it learns how to draw an image from a text prompt. Some concepts are learned from memory as they may have seen similar images. However, it can also learn how to create...
    Downloads: 20 This Week
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  • 3
    DALL-E 2 - Pytorch

    DALL-E 2 - Pytorch

    Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis

    ... as the denoising network) To train DALLE-2 is a 3 step process, with the training of CLIP being the most important. To train CLIP, you can either use x-clip package, or join the LAION discord, where a lot of replication efforts are already underway. Then, you will need to train the decoder, which learns to generate images based on the image embedding coming from the trained CLIP.
    Downloads: 17 This Week
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  • 4
    Auto-GPT

    Auto-GPT

    An experimental open-source attempt to make GPT-4 fully autonomous

    Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set. As one of the first examples of GPT-4 running fully autonomously, Auto-GPT pushes the boundaries of what is possible with AI.
    Downloads: 8 This Week
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  • APIs for the next generation of business text messaging Icon
    APIs for the next generation of business text messaging

    For companies that need a reliable messaging API provider

    Get your customers’ messages where they need to go with 99%+ deliverability. Telgorithm’s API automates A2P compliance & message management for faster, easier, & more reliable messaging, enabling you to offer the best service to your customers.
  • 5
    Khoj

    Khoj

    An AI personal assistant for your digital brain

    Get more done with your open-source AI personal assistant. Khoj is a desktop application to search and chat with your notes, documents, and images. It is an offline-first, open-source AI personal assistant that is accessible from Emacs, Obsidian or your Web browser. Khoj is a thinking tool that is transparent, fun, and easy to engage with. You can build faster and better by using Khoj to search and reason across all your data sources. Khoj learns from your notes and documents to function...
    Downloads: 8 This Week
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  • 6
    Hello AI World

    Hello AI World

    Guide to deploying deep-learning inference networks

    Hello AI World is a great way to start using Jetson and experiencing the power of AI. In just a couple of hours, you can have a set of deep learning inference demos up and running for realtime image classification and object detection on your Jetson Developer Kit with JetPack SDK and NVIDIA TensorRT. The tutorial focuses on networks related to computer vision, and includes the use of live cameras. You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train...
    Downloads: 9 This Week
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  • 7
    Firebot

    Firebot

    A powerful all-in-one bot for Twitch streamers

    An all-in-one desktop bot for Twitch featuring support for Chat Commands, Events, Timers, Currencies, Third Party Integrations, and so much more. Visit Firebot's website for more info. Why choose function over form when you can have both! Utilizing modern technologies, Firebot has been built from the ground up with usability in mind. The result is a UI that is equal parts intuitive and beautiful. At the core of Firebot is a simple, yet powerful Effect system that allows you to program the bot...
    Downloads: 5 This Week
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  • 8
    RWKV Runner

    RWKV Runner

    A RWKV management and startup tool, full automation, only 8MB

    RWKV (pronounced as RwaKuv) is an RNN with GPT-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, fast training, saves VRAM, "infinite" ctxlen, and free text embedding. Moreover it's 100% attention-free. Default configs has enabled custom CUDA kernel acceleration, which is much faster and consumes much less VRAM. If you encounter possible compatibility...
    Downloads: 3 This Week
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  • 9
    Discourse Network Analyzer (DNA)

    Discourse Network Analyzer (DNA)

    Discourse Network Analyzer (DNA)

    The Java software Discourse Network Analyzer (DNA) is a qualitative content analysis tool with network export facilities. You import text files and annotate statements that persons or organizations make, and the program will return network matrices of actors connected by shared concepts.
    Downloads: 3 This Week
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  • Safety Management Platform | SafetyIQ Icon
    Safety Management Platform | SafetyIQ

    Keep your workers safe, no matter where they are

    SafetyIQ is revolutionizing the way businesses approach safety. As a leading provider of comprehensive workplace safety software, we cater to four key areas: Mobile Worker Safety, EHS (Environment, Health, and Safety), Fatigue Management, and Training. Our platform is designed to safeguard your workers, no matter their location or task, ensuring all-around safety compliance. Unlike most safety software providers that only react to incidents or implement proactive measures, SafetyIQ introduces a third pillar to safety management - predictive analytics. We transform the untapped wealth of safety data within your organization into actionable insights to inform safety strategies, mitigating risks even before they aris
  • 10
    OneFlow

    OneFlow

    OneFlow is a deep learning framework designed to be user-friendly

    OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. An extension for OneFlow to target third-party compiler, such as XLA, TensorRT and OpenVINO etc.CUDA runtime is statically linked into OneFlow. OneFlow will work on a minimum supported driver, and any driver beyond. For more information. Distributed performance (efficiency) is the core technical difficulty of the deep learning framework. OneFlow focuses on performance improvement and heterogeneous...
    Downloads: 2 This Week
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  • 11
    PyTorch Implementation of SDE Solvers

    PyTorch Implementation of SDE Solvers

    Differentiable SDE solvers with GPU support and efficient sensitivity

    ... be loosely viewed as a variational autoencoder with its prior and approximate posterior being SDEs. The program outputs figures to the path specified by <TRAIN_DIR>. Training should stabilize after 500 iterations with the default hyperparameters. examples/sde_gan.py learns an SDE as a GAN, as in [2], [3]. The example trains an SDE as the generator of a GAN, whilst using a neural CDE [4] as the discriminator.
    Downloads: 0 This Week
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  • 12
    Learn Prompting

    Learn Prompting

    This website is a free, open-source guide on prompt engineering

    ... engineering. We recommend learning Python, as it is a popular language for AI and machine learning. Be among the first to access the certification program as soon as it launches.
    Downloads: 2 This Week
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  • 13
    chatgpt-web

    chatgpt-web

    Privatized web program based on ChatGPT3.5 API

    This project can deploy your own customized ChatGPT web program (compatible with gpt3.5) with one click, just download the project file of the corresponding platform in the release, modify the configuration and execute it, open http://127.0.0.1:8080, you can Get your own ChatGPT website. Note that each parameter may affect you to get a different chat effect, and you may get another answer if you change a parameter, so please try to debug it yourself, and don't complain about the artificial...
    Downloads: 1 This Week
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  • 14
    Telegram.Bot

    Telegram.Bot

    .NET Client for Telegram Bot API

    ... using other languages/platforms as it shows best practices in developing Telegram chatbots with examples. This project is fully tested using Unit tests and Systems Integration tests before each release. In fact, our test cases are self-documenting and serve as examples for Bot API methods. Once you learn the basics of Telegram chatbots, you will be able to easily understand the code in examples and use it in your own bot program.
    Downloads: 2 This Week
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  • 15
    Torch-TensorRT

    Torch-TensorRT

    PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

    Torch-TensorRT is a compiler for PyTorch/TorchScript, targeting NVIDIA GPUs via NVIDIA’s TensorRT Deep Learning Optimizer and Runtime. Unlike PyTorch’s Just-In-Time (JIT) compiler, Torch-TensorRT is an Ahead-of-Time (AOT) compiler, meaning that before you deploy your TorchScript code, you go through an explicit compile step to convert a standard TorchScript program into a module targeting a TensorRT engine. Torch-TensorRT operates as a PyTorch extension and compiles modules that integrate...
    Downloads: 1 This Week
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  • 16
    DeepCTR-Torch

    DeepCTR-Torch

    Easy-to-use,Modular and Extendible package of deep-learning models

    ... features and some dense numerical features. Low-order Extractor learns feature interaction through product between vectors. Factorization-Machine and it’s variants are widely used to learn the low-order feature interaction. High-order Extractor learns feature combination through complex neural network functions like MLP, Cross Net, etc.
    Downloads: 0 This Week
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  • 17
    Tock

    Tock

    Tock, the open source conversational AI toolkit

    Complete and autonomous NLU solution leveraging opensource libs, such as OpenNLP, Stanford, Duckling and more. Web, mobile, social networks, smart speakers and more. Create your bot once, connect it progressively to multiple channels as you need them. Simple graphical interfaces to build stories and models, manage multilingual and multichannel bots, better understand users with analytics. Program complex stories using Kotlin, Python or Node.js provided components, or integrate with any language...
    Downloads: 1 This Week
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  • 18
    Keras Attention Mechanism

    Keras Attention Mechanism

    Attention mechanism Implementation for Keras

    .... As the training progresses, the model learns the task and the attention map converges to the ground truth. We consider many 1D sequences of the same length. The task is to find the maximum of each sequence. We give the full sequence processed by the RNN layer to the attention layer. We expect the attention layer to focus on the maximum of each sequence.
    Downloads: 0 This Week
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  • 19
    Minimal text diffusion

    Minimal text diffusion

    A minimal implementation of diffusion models for text generation

    A minimal implementation of diffusion models of text: learns a diffusion model of a given text corpus, allowing to generate text samples from the learned model. The main idea was to retain just enough code to allow training a simple diffusion model and generating samples, remove image-related terms, and make it easier to use. To train a model, run scripts/train.sh. By default, this will train a model on the simple corpus. However, you can change this to any text file using the --train_data...
    Downloads: 0 This Week
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  • 20
    RQ-Transformer

    RQ-Transformer

    Implementation of RQ Transformer, autoregressive image generation

    Implementation of RQ Transformer, which proposes a more efficient way of training multi-dimensional sequences autoregressively. This repository will only contain the transformer for now. You can use this vector quantization library for the residual VQ. This type of axial autoregressive transformer should be compatible with memcodes, proposed in NWT. It would likely also work well with multi-headed VQ. I also think there is something deeper going on, and have generalized this to any number of...
    Downloads: 0 This Week
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  • 21
    BEVFormer

    BEVFormer

    Implementation of BEVFormer, a camera-only framework

    3D visual perception tasks, including 3D detection and map segmentation based on multi-camera images, are essential for autonomous driving systems. In this work, we present a new framework termed BEVFormer, which learns unified BEV representations with spatiotemporal transformers to support multiple autonomous driving perception tasks. In a nutshell, BEVFormer exploits both spatial and temporal information by interacting with spatial and temporal space through predefined grid-shaped BEV queries...
    Downloads: 0 This Week
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  • 22
    Alan AI for iOS

    Alan AI for iOS

    In-App assistant SDK to build a multimodal conversational UX for iOS

    Quickly add voice to your app with the Alan Platform. Create an in-app voice assistant to enable human-like conversations and provide a personalized voice experience for every user. Alan is a conversational voice AI platform that lets you create an intelligent voice assistant for your app. It offers all the necessary tools to design, embed, and host your voice solutions. A powerful web-based IDE where you can write, test and debug dialog scenarios for your voice assistant or chatbot. Alan's...
    Downloads: 0 This Week
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  • 23
    PumpkinBook

    PumpkinBook

    Machine Learning formula derivation and analysis

    ... program in the form of appendices and references. Interested students can Continue to learn in depth along the information we gave. For beginners who are new to machine learning, the formulas in Chapter 1 and Chapter 2 of Watermelon Book are strongly not recommended to go deep . You can simply go over it, and it will be too late to come back and chew when you learn a little.
    Downloads: 0 This Week
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  • 24
    MONAI

    MONAI

    AI Toolkit for Healthcare Imaging

    ... annotated datasets, and build AI models in a standardized MONAI paradigm. MONAI is an open-source project. It is built on top of PyTorch and is released under the Apache 2.0 license. Aiming to capture best practices of AI development for healthcare researchers, with an immediate focus on medical imaging. Providing user-comprehensible error messages and easy to program API interfaces. Provides reproducibility of research experiments for comparisons against state-of-the-art implementations.
    Downloads: 0 This Week
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  • 25
    TensorFlow.NET

    TensorFlow.NET

    .NET Standard bindings for Google's TensorFlow for developing models

    ... with a powerful Machine Learning tool set without reinventing the wheel. Since the APIs are kept as similar as possible you can immediately adapt any existing TensorFlow code in C# or F# with a zero learning curve. Take a look at a comparison picture and see how comfortably a TensorFlow/Python script translates into a C# program with TensorFlow.NET.
    Downloads: 0 This Week
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