Best AI tools for< Clone Tensorflow Repo >

Woy AI Tools is a free AI voice cloning application that allows users to instantly clone voices with high similarity and realism. Users can upload a 10-second voice sample to generate and download cloned voices in multiple languages and accents. The tool ensures secure privacy and offers a simple interface for easy usage.

Creatoor AI is a cutting-edge platform that empowers you to create stunning videos using artificial intelligence. With its user-friendly interface and advanced features, Creatoor AI makes it easy to produce professional-quality videos in a matter of seconds. Whether you're a marketer, entrepreneur, or content creator, Creatoor AI has everything you need to elevate your video content and captivate your audience.

SecondSoul is an AI platform that enables users to create their AI clone for engaging 24/7 conversations on Telegram. It allows users to customize their AI clone with unique traits, voice, and train it to mimic their style. The platform offers a straightforward pricing model with a revenue split, where creators earn 80% of the messages fee from users of their clone. SecondSoul aims to enhance user experience, provide companionship, and monetize community interactions through AI technology.

DeepMode.ai is a platform that allows users to create their own AI clone models. With DeepMode.ai, users can train AI models on their own data, and then use those models to automate tasks, make predictions, and generate new content. DeepMode.ai is designed to be easy to use, even for users with no prior experience with AI. The platform provides a variety of tools and resources to help users get started, including tutorials, documentation, and a community forum.

MyVocal.ai is a text-to-speech and voice cloning tool that allows users to create realistic-sounding voices from text. With MyVocal.ai, you can clone your own voice or choose from a variety of pre-recorded voices. You can then use these voices to create songs, audiobooks, podcasts, and other audio content. MyVocal.ai also offers a variety of features to help you customize your voice, including the ability to change the pitch, speed, and volume. Additionally, MyVocal.ai offers a variety of features to help you create high-quality audio content, including the ability to add background music and sound effects.

Twinning is an AI application that allows users to create a virtual clone of themselves for their followers to interact with on social media platforms. Users can record an audio of themselves speaking, and the AI twin is generated within minutes. The application offers different pricing tiers based on the number of followers an influencer has, with features like professional voice cloning, audio messaging, and analytics. Twinning provides a unique way for influencers to engage with their audience and potentially monetize their AI twin's interactions.

AITurbos is an AI-powered platform that offers a suite of tools designed to revolutionize content creation and marketing strategies. With a focus on boosting engagement, saving time, and enhancing productivity, AITurbos provides advanced AI models for generating text, images, code, chatbots, and more. Users can access features like AI text generation, image generation, code generation, chatbot creation, and speech-to-text conversion. The platform supports multiple languages, custom templates, and data-driven customization to meet diverse content creation needs.

Qlone is a user-friendly 3D scanning app that allows users to easily create 3D models using their smartphone or tablet. The app offers seamless integration with leading 3D platforms for printing, sharing, and selling models. Users can create AR menus, scan various objects like food, people, and art, and engage in educational activities. Qlone is developed by EyeCue Vision Technologies LTD and is designed to provide a simple and efficient 3D scanning experience.

Narrify AI is an AI-powered application that transforms your videos by adding sports commentary to them. With Narrify AI, users can upload any video file up to 45 seconds in length and enhance it with personalized commentary, highlighting names and key words. The application allows users to create engaging and fun narrated videos to share with friends and family. Narrify AI is a user-friendly tool that adds a unique touch to your videos, making them more entertaining and memorable.

Kits AI is a studio-quality AI music tool that offers a range of features to streamline music workflows. Users can clone voices, sing like anyone, play any instrument, and access a library of 50+ AI singing voices. The application allows for voice blending, vocal isolation, AI mastering, stem splitting, and more. Kits AI empowers artists and creators by providing tools for voice modeling, passive income generation, and ethical use of AI in vocal technology.

Resemble AI is an advanced AI Voice Generator and Deepfake Audio Detection platform designed for enterprises prioritizing security and safety. It offers features such as Voice Cloning, Text to Speech, Speech to Speech, Audio Editing, and Multilingual support. The platform enables users to create hyper-realistic AI voices, deploy AI models through the cloud or on-premises, and safeguard digital content with state-of-the-art deepfake detection technology. Resemble AI is trusted by millions worldwide for creating unique, dynamic messages and personalized experiences across various industries.

Momento AI is an innovative AI application that allows users to create their very own AI clone. With Momento AI, users can engage in home chats, explore various topics, and create personalized content. The application provides a seamless experience for users to interact with their AI clone and enhance their digital presence. Momento AI leverages advanced AI technology to deliver a unique and personalized experience to users.

Argil is an AI application that offers a platform for generating engaging AI videos quickly and easily. Users can create high-quality videos for social media, education, promotion, and entertainment purposes using AI technology. The platform allows users to clone themselves virtually, create AI avatars, and leverage various features to enhance video production. With a range of pricing plans and API access, Argil aims to revolutionize content creation by providing efficient and affordable video solutions.

Spheria is a no-code platform that allows users to create their own official AI clone, which learns directly from the user's experiences, skills, and life stories. Unlike other AI tools that rely on generic data, Spheria celebrates individuality and personal growth. The platform emphasizes privacy, ethics, and user control over data, offering a secure environment for users to interact with their AI double.

Klones is an AI application that allows content creators and influencers to create a digital clone of themselves using generative AI technology. This AI clone interacts with fans, replicating the creator's style and tone to manage fan engagement and generate income. The platform prioritizes data privacy and user safety, ensuring that influencer data is securely stored and used exclusively to train the AI clone.

Voice.ai is a free real-time voice changer and the largest ecosystem of free AI voice tools. With Voice.ai, you can change your voice in real-time, clone voices, create soundboards, and more. Voice.ai is perfect for streamers, content creators, gamers, and anyone who wants to have fun with their voice.

LOVO is an AI-powered voice generator that allows users to create realistic and high-quality voiceovers. It offers a wide range of features, including text-to-speech, voice cloning, and video editing. LOVO is perfect for businesses, content creators, educators, and anyone looking to create engaging content that stands out from the crowd.

VoiceSona is an AI-powered voice changer application that allows users to transform their voice to sound like anyone they want. With a lag-free experience, users can change their voice across various platforms such as Roblox, phone calls, OBS, VRChat, and Discord. The application offers thousands of voices including singers, villains, rappers, presidents, and actors, providing a new level of voice-changing technology.

Cuecard is an AI-powered sales co-pilot tool designed to revolutionize the sales process by providing AI-driven knowledge and personalized experiences to help sales teams close deals faster. It offers features such as interactive outreach, efficient research, real-time answers, centralized knowledge access, and improved sales velocity. Cuecard is trusted by leading brands of all sizes and offers a live demo for users to experience its innovative features firsthand.

Voicemy.ai is an AI application that allows users to create AI voices and songs. Users can clone voices of famous personalities, compose melodies, and convert text into spoken words using chosen voice models. The platform aims to inspire creativity and enable users to share their passion with the world.

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.

This repository provides a setup for basic gesture recognition using the TI AWR1642 mmWave sensor. Users can collect data from the sensor and choose from various neural network architectures for gesture recognition. The supported gestures include Swipe Up, Swipe Down, Swipe Right, Swipe Left, Spin Clockwise, Spin Counterclockwise, Letter Z, Letter S, and Letter X. The repository includes data and models for training and inference, along with instructions for installation, serial permissions setup, flashing firmware, running the system, collecting data, training models, selecting different models, and accessing help documentation. The project is developed using Python and TensorFlow 2.15.

HuggingFaceGuidedTourForMac is a guided tour on how to install optimized pytorch and optionally Apple's new MLX, JAX, and TensorFlow on Apple Silicon Macs. The repository provides steps to install homebrew, pytorch with MPS support, MLX, JAX, TensorFlow, and Jupyter lab. It also includes instructions on running large language models using HuggingFace transformers. The repository aims to help users set up their Macs for deep learning experiments with optimized performance.

ztachip is a RISCV accelerator designed for vision and AI edge applications, offering up to 20-50x acceleration compared to non-accelerated RISCV implementations. It features an innovative tensor processor hardware to accelerate various vision tasks and TensorFlow AI models. ztachip introduces a new tensor programming paradigm for massive processing/data parallelism. The repository includes technical documentation, code structure, build procedures, and reference design examples for running vision/AI applications on FPGA devices. Users can build ztachip as a standalone executable or a micropython port, and run various AI/vision applications like image classification, object detection, edge detection, motion detection, and multi-tasking on supported hardware.

ClearML Serving is a command line utility for model deployment and orchestration, enabling model deployment including serving and preprocessing code to a Kubernetes cluster or custom container based solution. It supports machine learning models like Scikit Learn, XGBoost, LightGBM, and deep learning models like TensorFlow, PyTorch, ONNX. It provides a customizable RestAPI for serving, online model deployment, scalable solutions, multi-model per container, automatic deployment, canary A/B deployment, model monitoring, usage metric reporting, metric dashboard, and model performance metrics. ClearML Serving is modular, scalable, flexible, customizable, and open source.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

AIGT is a repository containing scripts for deep learning in guided medical interventions, focusing on ultrasound imaging. It provides a complete workflow from formatting and annotations to real-time model deployment. Users can set up an Anaconda environment, run Slicer notebooks, acquire tracked ultrasound data, and process exported data for training. The repository includes tools for segmentation, image export, and annotation creation.

The 'awesome-local-llms' repository is a curated list of open-source tools for local Large Language Model (LLM) inference, covering both proprietary and open weights LLMs. The repository categorizes these tools into LLM inference backend engines, LLM front end UIs, and all-in-one desktop applications. It collects GitHub repository metrics as proxies for popularity and active maintenance. Contributions are encouraged, and users can suggest additional open-source repositories through the Issues section or by running a provided script to update the README and make a pull request. The repository aims to provide a comprehensive resource for exploring and utilizing local LLM tools.

A high-performance TensorFlow Lite library for React Native that utilizes JSI for power, zero-copy ArrayBuffers for efficiency, and low-level C/C++ TensorFlow Lite core API for direct memory access. It supports swapping out TensorFlow Models at runtime and GPU-accelerated delegates like CoreML/Metal/OpenGL. Easy VisionCamera integration allows for seamless usage. Users can load TensorFlow Lite models, interpret input and output data, and utilize GPU Delegates for faster computation. The library is suitable for real-time object detection, image classification, and other machine learning tasks in React Native applications.

Awesome-LLM-Large-Language-Models-Notes is a repository that provides a comprehensive collection of information on various Large Language Models (LLMs) classified by year, size, and name. It includes details on known LLM models, their papers, implementations, and specific characteristics. The repository also covers LLM models classified by architecture, must-read papers, blog articles, tutorials, and implementations from scratch. It serves as a valuable resource for individuals interested in understanding and working with LLMs in the field of Natural Language Processing (NLP).

uTensor is an extremely light-weight machine learning inference framework built on Tensorflow and optimized for Arm targets. It consists of a runtime library and an offline tool that handles most of the model translation work. The core runtime is only ~2KB. The workflow involves constructing and training a model in Tensorflow, then using uTensor to produce C++ code for inferencing. The runtime ensures system safety, guarantees RAM usage, and focuses on clear, concise, and debuggable code. The high-level API simplifies tensor handling and operator execution for embedded systems.

AI-Drug-Discovery-Design is a repository focused on Artificial Intelligence-assisted Drug Discovery and Design. It explores the use of AI technology to accelerate and optimize the drug development process. The advantages of AI in drug design include speeding up research cycles, improving accuracy through data-driven models, reducing costs by minimizing experimental redundancies, and enabling personalized drug design for specific patients or disease characteristics.

AIShield Watchtower is a tool designed to fortify the security of AI/ML models and Jupyter notebooks by automating model and notebook discoveries, conducting vulnerability scans, and categorizing risks into 'low,' 'medium,' 'high,' and 'critical' levels. It supports scanning of public GitHub repositories, Hugging Face repositories, AWS S3 buckets, and local systems. The tool generates comprehensive reports, offers a user-friendly interface, and aligns with industry standards like OWASP, MITRE, and CWE. It aims to address the security blind spots surrounding Jupyter notebooks and AI models, providing organizations with a tailored approach to enhancing their security efforts.

Slideflow is a deep learning library for digital pathology, offering a user-friendly interface for model development. It is designed for medical researchers and AI enthusiasts, providing an accessible platform for developing state-of-the-art pathology models. Slideflow offers customizable training pipelines, robust slide processing and stain normalization toolkit, support for weakly-supervised or strongly-supervised labels, built-in foundation models, multiple-instance learning, self-supervised learning, generative adversarial networks, explainability tools, layer activation analysis tools, uncertainty quantification, interactive user interface for model deployment, and more. It supports both PyTorch and Tensorflow, with optional support for Libvips for slide reading. Slideflow can be installed via pip, Docker container, or from source, and includes non-commercial add-ons for additional tools and pretrained models. It allows users to create projects, extract tiles from slides, train models, and provides evaluation tools like heatmaps and mosaic maps.

Thinc is a lightweight deep learning library that offers an elegant, type-checked, functional-programming API for composing models, with support for layers defined in other frameworks such as PyTorch, TensorFlow and MXNet. You can use Thinc as an interface layer, a standalone toolkit or a flexible way to develop new models.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). MLflow's current components are: * `MLflow Tracking `_: An API to log parameters, code, and results in machine learning experiments and compare them using an interactive UI. * `MLflow Projects `_: A code packaging format for reproducible runs using Conda and Docker, so you can share your ML code with others. * `MLflow Models `_: A model packaging format and tools that let you easily deploy the same model (from any ML library) to batch and real-time scoring on platforms such as Docker, Apache Spark, Azure ML and AWS SageMaker. * `MLflow Model Registry `_: A centralized model store, set of APIs, and UI, to collaboratively manage the full lifecycle of MLflow Models.

Awesome-Embedded is a curated list of resources for embedded systems enthusiasts. It covers a wide range of topics including MCU programming, RTOS, Linux kernel development, assembly programming, machine learning & AI on MCU, utilities, tips & tricks, and more. The repository provides valuable information, tutorials, and tools for individuals interested in embedded systems development.

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