Best AI tools for< Create Training Videos >

AIflixhub is an AI-powered video creation platform that allows users to create AI-generated films, videos, speech, sound, and music. With AIflixhub, users can create professional-quality videos with just a few clicks. The platform offers a wide range of features, including AI-powered video editing, text-to-speech, and music generation. AIflixhub is perfect for businesses, marketers, and anyone who wants to create engaging videos quickly and easily.

WOXO is an AI-powered video generator that helps content creators boost their YouTube and TikTok views. It offers a range of features to streamline the video creation process, including idea generation, quick editing, and scheduling. With WOXO, content creators can save time, overcome creative blocks, and ensure consistency in their video output.

Yepic AI is a real-time AI avatar technology for corporate learning and customer experience professionals wanting to significantly improve learning outcomes and deliver excellent customer service. It offers a range of products including asynchronous studio express, asynchronous studio pro, real-time video agents, and real-time asynchronous API. Yepic AI's avatars are knowledgeable, lifelike, and multilingual, and can be used for a variety of purposes such as education and training, health and fitness, and customer support.

Elai.io is an advanced tool that utilizes the power of artificial intelligence to simplify and automate the video creation process. Our aim in Elai.io is to offer a user-friendly platform that welcomes individuals at any skill level in video production. Users can outline their video’s theme and narrative through an easy-to-navigate text interface, enriching it further with various multimedia components like images, texts, and sounds. This synergy between AI and user creativity enables the crafting of videos that are rich in information and visually stunning.

Hour One is an AI-powered video creation platform that helps businesses create engaging and effective videos without the need for professional videographers or expensive equipment. With Hour One, you can create videos for a variety of purposes, including training, marketing, sales, and customer support. Hour One's AI-powered video generator makes it easy to create high-quality videos quickly and easily, even if you don't have any design or editing skills.

Finalle.ai is a cloud-based AI-powered video creation platform that enables users to create professional-quality videos in minutes. With Finalle.ai, you can easily create videos for social media, marketing, sales, and more. No video editing experience is required.

Sora Video AI is an easy-to-use video generator that allows users to create amazing videos with just a few clicks. Using OpenAI's API, Sora can convert ideas into reality, allowing users to create full-fledged movies simply by providing a prompt. Sora handles the heavy lifting, transforming concepts into captivating visual stories that can be easily saved and shared. With its simple no-tricks pricing, Sora is the best AI video generation tool on the market.

SORA AI Video Generator is a powerful online tool that allows you to create stunning videos from text. With SORA AI, you can easily convert your written content into engaging and informative videos, perfect for marketing, education, and more. SORA AI's advanced artificial intelligence technology analyzes your text and automatically generates a video that is tailored to your specific needs. You can customize your videos with a variety of features, including text-to-speech narration, background music, and images. SORA AI also offers a wide range of templates to help you get started quickly and easily.

SoraWeb is an open-source platform that simplifies video creation by allowing users to generate videos online with OpenAI's Sora model using text, featuring easy one-click website deployment.

Weet is an all-in-one video creation, editing, and tracking platform that offers a wide range of tools to help businesses create professional-looking interactive videos quickly and easily. With Weet, users can record their screen and webcam, create avatar videos, generate subtitles and translations, edit and trim videos, and add interactivity to make their videos more engaging. Weet also offers real-time collaboration, built-in comments and interactions, and designated workspaces and channels to help teams stay organized and make their videos easy to search.

VidGenesis is an AI-powered video generator that allows users to create engaging videos in minutes. With its user-friendly interface and powerful AI technology, VidGenesis makes it easy for anyone to create high-quality videos for a variety of purposes, including marketing, education, and entertainment. Some of the key features of VidGenesis include the ability to choose from a variety of video templates, add custom text and images, and select from a range of AI-generated voices. VidGenesis also offers a variety of advanced features, such as the ability to add custom branding and download videos in HD quality.

Synthesia is an AI-powered video creation platform that allows users to create professional-quality videos with AI avatars and voiceovers in over 130 languages. It is designed to be easy to use, with a drag-and-drop interface and a library of pre-built templates. Synthesia is used by businesses of all sizes to create training videos, sales videos, marketing videos, and more.

Colossyan Creator is an AI-powered video generation platform that enables users to create professional-quality videos from text, images, and audio. With Colossyan Creator, users can quickly and easily create engaging and informative videos for a variety of purposes, including training, marketing, and communications. Colossyan Creator offers a wide range of features, including AI-powered avatars, auto-translation, and customizable templates. Colossyan Creator is used by a variety of organizations, including Fortune 500 companies and educational institutions.

Pigeon Studio is an animation studio that specializes in creating engaging and impactful animated content for businesses and organizations. With a team of experienced animators and designers, Pigeon Studio can bring your ideas to life with high-quality 2D and 3D animation. Whether you need an explainer video, a marketing video, or a training video, Pigeon Studio can create a custom solution that meets your needs.

At ZenML, we believe in the importance of annotation and labeling workflows in the machine learning lifecycle. This repository showcases a curated list of open-source data annotation and labeling tools that are actively maintained and fit for purpose. The tools cover various domains such as multi-modal, text, images, audio, video, time series, and other data types. Users can contribute to the list and discover tools for tasks like named entity recognition, data annotation for machine learning, image and video annotation, text classification, sequence labeling, object detection, and more. The repository aims to help users enhance their data-centric workflows by leveraging these tools.

KanTV is an open-source project that focuses on studying and practicing state-of-the-art AI technology in real applications and scenarios, such as online TV playback, transcription, translation, and video/audio recording. It is derived from the original ijkplayer project and includes many enhancements and new features, including: * Watching online TV and local media using a customized FFmpeg 6.1. * Recording online TV to automatically generate videos. * Studying ASR (Automatic Speech Recognition) using whisper.cpp. * Studying LLM (Large Language Model) using llama.cpp. * Studying SD (Text to Image by Stable Diffusion) using stablediffusion.cpp. * Generating real-time English subtitles for English online TV using whisper.cpp. * Running/experiencing LLM on Xiaomi 14 using llama.cpp. * Setting up a customized playlist and using the software to watch the content for R&D activity. * Refactoring the UI to be closer to a real commercial Android application (currently only supports English). Some goals of this project are: * To provide a well-maintained "workbench" for ASR researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To provide a well-maintained "workbench" for LLM researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To create an Android "turn-key project" for AI experts/researchers (who may not be familiar with regular Android software development) to focus on device-side AI R&D activity, where part of the AI R&D activity (algorithm improvement, model training, model generation, algorithm validation, model validation, performance benchmark, etc.) can be done very easily using Android Studio IDE and a powerful Android phone.

Open-Sora-Plan is a project that aims to create a simple and scalable repo to reproduce Sora (OpenAI, but we prefer to call it "ClosedAI"). The project is still in its early stages, but the team is working hard to improve it and make it more accessible to the open-source community. The project is currently focused on training an unconditional model on a landscape dataset, but the team plans to expand the scope of the project in the future to include text2video experiments, training on video2text datasets, and controlling the model with more conditions.

MaixPy is a Python SDK that enables users to easily create AI vision projects on edge devices. It provides a user-friendly API for accessing NPU, making it suitable for AI Algorithm Engineers, STEM teachers, Makers, Engineers, Students, Enterprises, and Contestants. The tool supports Python programming, MaixVision Workstation, AI vision, video streaming, voice recognition, and peripheral usage. It also offers an online AI training platform called MaixHub. MaixPy is designed for new hardware platforms like MaixCAM, offering improved performance and features compared to older versions. The ecosystem includes hardware, software, tools, documentation, and a cloud platform.

The 'create-million-parameter-llm-from-scratch' repository provides a detailed guide on creating a Large Language Model (LLM) with 2.3 million parameters from scratch. The blog replicates the LLaMA approach, incorporating concepts like RMSNorm for pre-normalization, SwiGLU activation function, and Rotary Embeddings. The model is trained on a basic dataset to demonstrate the ease of creating a million-parameter LLM without the need for a high-end GPU.

Next-Token Prediction is a language model tool that allows users to create high-quality predictions for the next word, phrase, or pixel based on a body of text. It can be used as an alternative to well-known decoder-only models like GPT and Mistral. The tool provides options for simple usage with built-in data bootstrap or advanced customization by providing training data or creating it from .txt files. It aims to simplify methodologies, provide autocomplete, autocorrect, spell checking, search/lookup functionalities, and create pixel and audio transformers for various prediction formats.

This repository contains the code for HOLD, a method that jointly reconstructs hands and objects from monocular videos without assuming a pre-scanned object template. It can reconstruct 3D geometries of novel objects and hands, enabling template-free bimanual hand-object reconstruction, textureless object interaction with hands, and multiple objects interaction with hands. The repository provides instructions to download in-the-wild videos from HOLD, preprocess and train on custom videos, a volumetric rendering framework, a generalized codebase for single and two hand interaction with objects, a viewer to interact with predictions, and code to evaluate and compare with HOLD in HO3D. The repository also includes documentation for setup, training, evaluation, visualization, preprocessing custom sequences, and using HOLD on ARCTIC.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

This repository showcases how to deploy generative AI models from Amazon SageMaker JumpStart using the AWS CDK. Generative AI is a type of AI that can create new content and ideas, such as conversations, stories, images, videos, and music. The repository provides a detailed guide on deploying image and text generative AI models, utilizing pre-trained models from SageMaker JumpStart. The web application is built on Streamlit and hosted on Amazon ECS with Fargate. It interacts with the SageMaker model endpoints through Lambda functions and Amazon API Gateway. The repository also includes instructions on setting up the AWS CDK application, deploying the stacks, using the models, and viewing the deployed resources on the AWS Management Console.

The Intel® Geti™ SDK is a python package that enables teams to rapidly develop AI models by easing the complexities of model development and enhancing collaboration between teams. It provides tools to interact with an Intel® Geti™ server via the REST API, allowing for project creation, downloading, uploading, deploying for local inference with OpenVINO, setting project and model configuration, launching and monitoring training jobs, and media upload and prediction. The SDK also includes tutorial-style Jupyter notebooks demonstrating its usage.

Weeablind is a program that uses modern AI speech synthesis, diarization, language identification, and voice cloning to dub multi-lingual media and anime. It aims to create a pleasant alternative for folks facing accessibility hurdles such as blindness, dyslexia, learning disabilities, or simply those that don't enjoy reading subtitles. The program relies on state-of-the-art technologies such as ffmpeg, pydub, Coqui TTS, speechbrain, and pyannote.audio to analyze and synthesize speech that stays in-line with the source video file. Users have the option of dubbing every subtitle in the video, setting the start and end times, dubbing only foreign-language content, or full-blown multi-speaker dubbing with speaking rate and volume matching.

Neptune is a scalable experiment tracker for teams training foundation models. Log millions of runs, effortlessly monitor and visualize model training, and deploy on your infrastructure. Track 100% of metadata to accelerate AI breakthroughs. Log and display any framework and metadata type from any ML pipeline. Organize experiments with nested structures and custom dashboards. Compare results, visualize training, and optimize models quicker. Version models, review stages, and access production-ready models. Share results, manage users, and projects. Integrate with 25+ frameworks. Trusted by great companies to improve workflow.

Supervisely is a computer vision platform that provides a range of tools and services for developing and deploying computer vision solutions. It includes a data labeling platform, a model training platform, and a marketplace for computer vision apps. Supervisely is used by a variety of organizations, including Fortune 500 companies, research institutions, and government agencies.

LLM Foundry is a codebase for training, finetuning, evaluating, and deploying LLMs for inference with Composer and the MosaicML platform. It is designed to be easy-to-use, efficient _and_ flexible, enabling rapid experimentation with the latest techniques. You'll find in this repo: * `llmfoundry/` - source code for models, datasets, callbacks, utilities, etc. * `scripts/` - scripts to run LLM workloads * `data_prep/` - convert text data from original sources to StreamingDataset format * `train/` - train or finetune HuggingFace and MPT models from 125M - 70B parameters * `train/benchmarking` - profile training throughput and MFU * `inference/` - convert models to HuggingFace or ONNX format, and generate responses * `inference/benchmarking` - profile inference latency and throughput * `eval/` - evaluate LLMs on academic (or custom) in-context-learning tasks * `mcli/` - launch any of these workloads using MCLI and the MosaicML platform * `TUTORIAL.md` - a deeper dive into the repo, example workflows, and FAQs

This repo collects AI-related utilities. ## All Categories * All Categories * ChatGPT and other closed-source LLMs * AI Search engine * Open Source LLMs * GPT/LLMs Applications * LLM training platform * Applications that integrate multiple LLMs * AI Agent * Writing * Programming Development * Translation * AI Conversation or AI Voice Conversation * Image Creation * Speech Recognition * Text To Speech * Voice Processing * AI generated music or sound effects * Speech translation * Video Creation * Video Content Summary * OCR(Optical Character Recognition)

Gemini is an open-source model designed to handle multiple modalities such as text, audio, images, and videos. It utilizes a transformer architecture with special decoders for text and image generation. The model processes input sequences by transforming them into tokens and then decoding them to generate image outputs. Gemini differs from other models by directly feeding image embeddings into the transformer instead of using a visual transformer encoder. The model also includes a component called Codi for conditional generation. Gemini aims to effectively integrate image, audio, and video embeddings to enhance its performance.

AI Summer is a repository focused on providing workshops and resources for developing foundational skills in generative AI models and transformer models. The repository offers practical applications for inferencing and training, with a specific emphasis on understanding and utilizing advanced AI chat models like BingGPT. Participants are encouraged to engage in interactive programming environments, decide on projects to work on, and actively participate in discussions and breakout rooms. The workshops cover topics such as generative AI models, retrieval-augmented generation, building AI solutions, and fine-tuning models. The goal is to equip individuals with the necessary skills to work with AI technologies effectively and securely, both locally and in the cloud.

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