Best AI tools for< Make Training Videos >

KreadoAI is a cutting-edge AI video generator that allows users to create professional-quality videos in just minutes. With over 700 AI avatars and 1,600 AI voices in 140 languages, KreadoAI offers a simple editor and fast creation process. Trusted by over 2 million customers in 200+ countries, KreadoAI provides cost-saving, time-saving, and engagement-increasing solutions for video production. The platform is ideal for marketing, education, training, and healthcare industries, offering easy customization and sharing options.

TextToVideo is an online tool that allows users to create videos from text prompts. Users can choose the size, temperature, and negative prompts for their videos. TextToVideo uses artificial intelligence to generate videos that are visually appealing and engaging.

SoraPrompting is a website that provides a collection of prompts to help users get started with Sora prompting and create high-quality video content. The website also includes a form for users to submit their own prompts, which can then be reviewed and added to the collection for the community to explore and create videos from. Sora is OpenAI's revolutionary text-to-video model, designed to understand and simulate the physical world in motion. It aims to assist in solving real-world problems through dynamic interaction. Sora stands out by generating high-quality videos up to a minute long while maintaining visual excellence and adhering to user prompts. Its unique capabilities make it a game-changer in the AI landscape.

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.

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.

Vatic AI is an AI-powered video creation tool that allows users to generate videos from text with just one tap. It is designed to make video creation accessible and easy for everyone, regardless of their technical skills or experience. With Vatic AI, users can create engaging and informative videos for various purposes, such as marketing, education, and social media.

ShortVideoGen is a text-to-video application that uses state-of-the-art video and audio generation AI models to create short videos in seconds. It is designed to be simple and easy to use, with a user-friendly interface and a variety of customization options. ShortVideoGen is perfect for creating short videos for social media, marketing, education, 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.

Vyond is an AI video creation platform designed for businesses to easily create professional-quality videos using AI-powered tools. The platform offers features like AI avatars, instant video generation, brand management, and enterprise security. Users can make videos in seconds with Vyond Go and customize them as needed. Vyond caters to various industries and departments, providing solutions for training, marketing, internal communications, and more. The platform is known for its user-friendly interface and ability to transform complex content into engaging media effortlessly.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

Vidnoz AI is a free online AI video generator that allows users to create engaging videos quickly and easily. With over 600 AI avatars, 470 realistic AI voices, and 600 templates to choose from, users can create videos for a variety of purposes, including marketing, education, and communication. Vidnoz AI is also easy to use, with a simple drag-and-drop interface and no prior video editing experience required.

Deepshot is the world's first fully customizable dialogue generation and replacement software, allowing users to create professional-looking videos with ease. It offers intuitive user profiles for quick content generation and powerful shot editing tools to bring visions to life. Users can break language barriers, correct mistakes in videos, test different concepts, and translate dialogue effortlessly. Deepshot is designed for content creators, by content creators, to transform ideas into engaging videos without limitations.

Lumen5 is an online video maker that allows users to create videos in minutes. With Lumen5, you can easily add text, images, and music to your videos, and even create animated videos. Lumen5 is perfect for creating videos for social media, marketing, and education.

AI Kungfu Video Generator is a revolutionary AI-powered platform that transforms your photos into authentic martial arts videos in just seconds. By combining cutting-edge AI technology with martial arts expertise, users can create stunning action sequences without any prior training. The tool offers customizable styles, quick results, and high-quality output for effortless video generation. Whether you're a content creator, martial arts enthusiast, or creative novice, AI Kungfu Video Generator provides a fun and easy way to bring your Kungfu dreams to life.

Arting AI is an AI creation platform that allows users to turn their ideas into images and videos. It offers a versatile AI-driven creativity platform for both professional workflows and personal lifestyles, delivering a 500% efficiency boost. The platform is powered by extensive data training, enabling it to understand and adapt to various prompts, delivering exceptional creative content tailored to the user's needs. Arting AI is ideal for e-commerce, advertising, entertainment, education, interior design, and more, providing rapid generation of creative resources with a maximum response time of less than 3 seconds.

VideoMaker.me is an AI video maker platform powered by Luma AI's Dream Machine. It allows users to effortlessly convert text and photos into high-quality videos without the need for editing skills. The platform offers features like text to video maker and image to video maker, providing a professional and user-friendly experience for content creation. With advanced AI technology, VideoMaker.me streamlines the video creation process, making it fast, efficient, and accessible to users of all skill levels.

Learnt.ai is an AI-powered learning platform that provides personalized learning experiences for students. It uses artificial intelligence to analyze student data and identify areas where they need additional support. Learnt.ai then creates personalized learning plans that are tailored to each student's individual needs. The platform also provides students with access to a variety of learning resources, including videos, articles, and interactive exercises.

Runway is a platform that provides tools and resources for artists and researchers to create and explore artificial intelligence-powered creative applications. The platform includes a library of pre-trained models, a set of tools for building and training custom models, and a community of users who share their work and collaborate on projects. Runway's mission is to make AI more accessible and understandable, and to empower artists and researchers to create new and innovative forms of creative expression.

Live Portrait Ai Generator is an AI application that transforms static portrait images into lifelike videos using advanced animation technology. Users can effortlessly animate their portraits, fine-tune animations, unleash artistic styles, and make memories move with text, music, and other elements. The tool offers a seamless stitching technology and retargeting capabilities to achieve perfect results. Live Portrait Ai enhances generation quality and generalization ability through a mixed image-video training strategy and network architecture upgrades.

AddaxAI is an application designed to streamline the work of ecologists dealing with camera trap images. It's an AI platform that allows you to analyse images with machine learning models for automatic detection, offering ecologists a way to save time and focus on conservation efforts.

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.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

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.

Recognize is a smart media tagging tool for Nextcloud that automatically categorizes photos and music by recognizing faces, animals, landscapes, food, vehicles, buildings, landmarks, monuments, music genres, and human actions in videos. It uses pre-trained models for object detection, landmark recognition, face comparison, music genre classification, and video classification. The tool ensures privacy by processing images locally without sending data to cloud providers. However, it cannot process end-to-end encrypted files. Recognize is rated positively for ethical AI practices in terms of open-source software, freely available models, and training data transparency, except for music genre recognition due to limited access to training data.

Grounded-VideoLLM is a Video Large Language Model specialized in fine-grained temporal grounding. It excels in tasks such as temporal sentence grounding, dense video captioning, and grounded VideoQA. The model incorporates an additional temporal stream, discrete temporal tokens with specific time knowledge, and a multi-stage training scheme. It shows potential as a versatile video assistant for general video understanding. The repository provides pretrained weights, inference scripts, and datasets for training. Users can run inference queries to get temporal information from videos and train the model from scratch.

AI System School is a curated list of research in machine learning systems, focusing on ML/DL infra, LLM infra, domain-specific infra, ML/LLM conferences, and general resources. It provides resources such as data processing, training systems, video systems, autoML systems, and more. The repository aims to help users navigate the landscape of AI systems and machine learning infrastructure, offering insights into conferences, surveys, books, videos, courses, and blogs related to the field.

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.

VideoTuna is a codebase for text-to-video applications that integrates multiple AI video generation models for text-to-video, image-to-video, and text-to-image generation. It provides comprehensive pipelines in video generation, including pre-training, continuous training, post-training, and fine-tuning. The models in VideoTuna include U-Net and DiT architectures for visual generation tasks, with upcoming releases of a new 3D video VAE and a controllable facial video generation model.

CogVideo is an open-source repository that provides pretrained text-to-video models for generating videos based on input text. It includes models like CogVideoX-2B and CogVideo, offering powerful video generation capabilities. The repository offers tools for inference, fine-tuning, and model conversion, along with demos showcasing the model's capabilities through CLI, web UI, and online experiences. CogVideo aims to facilitate the creation of high-quality videos from textual descriptions, catering to a wide range of applications.

TRACE is a temporal grounding video model that utilizes causal event modeling to capture videos' inherent structure. It presents a task-interleaved video LLM model tailored for sequential encoding/decoding of timestamps, salient scores, and textual captions. The project includes various model checkpoints for different stages and fine-tuning on specific datasets. It provides evaluation codes for different tasks like VTG, MVBench, and VideoMME. The repository also offers annotation files and links to raw videos preparation projects. Users can train the model on different tasks and evaluate the performance based on metrics like CIDER, METEOR, SODA_c, F1, mAP, Hit@1, etc. TRACE has been enhanced with trace-retrieval and trace-uni models, showing improved performance on dense video captioning and general video understanding tasks.

FineTrainers is a work-in-progress library designed to support the training of video models, with a focus on LoRA training for popular video models in Diffusers. It aims to eventually extend support to other methods like controlnets, control-loras, distillation, etc. The library provides tools for training custom models, handling big datasets, and supporting multi-backend distributed training. It also offers tooling for curating small and high-quality video datasets for fine-tuning.

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.

DL3DV-10K is a large-scale dataset of real-world scene-level videos with annotations, covering diverse scenes with different levels of reflection, transparency, and lighting. It includes 10,510 multi-view scenes with 51.2 million frames at 4k resolution, and offers benchmark videos for novel view synthesis (NVS) methods. The dataset is designed to facilitate research in deep learning-based 3D vision and provides valuable insights for future research in NVS and 3D representation learning.

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

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.

KaTrain is a tool designed for analyzing games and playing go with AI feedback from KataGo. Users can review their games to find costly moves, play against AI with immediate feedback, play against weakened AI versions, and generate focused SGF reviews. The tool provides various features such as previews, tutorials, installation instructions, and configuration options for KataGo. Users can play against AI, receive instant feedback on moves, explore variations, and request in-depth analysis. KaTrain also supports distributed training for contributing to KataGo's strength and training bigger models. The tool offers themes customization, FAQ section, and opportunities for support and contribution through GitHub issues and Discord community.

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Dive into the world of AI image creation with DALL-E 3 training! Learn to craft stunning visuals, from portraits to modern art. Get personalized feedback, unique prompts, and expert guidance to enhance your skills and unleash your creativity.

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