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Video Converter Software
Video converter software, also known as video encoding or video transcoding software, allows users to convert video files from one format to another, ensuring compatibility with various devices, platforms, or media players. These platforms typically support a wide range of video formats, such as MP4, AVI, MOV, MKV, and more, enabling users to adjust resolution, bitrate, and other settings during the conversion process. Video converter software often includes additional features like batch conversion, video trimming, and audio extraction, allowing for greater flexibility. By using this software, users can efficiently prepare videos for different uses, whether for sharing, editing, or playback on various devices.
Artificial Intelligence Software
Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics.
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    Universal Sentence Encoder
    The Universal Sentence Encoder (USE) encodes text into high-dimensional vectors that can be utilized for tasks such as text classification, semantic similarity, and clustering. It offers two model variants: one based on the Transformer architecture and another on Deep Averaging Network (DAN), allowing a balance between accuracy and computational efficiency. The Transformer-based model captures context-sensitive embeddings by processing the entire input sequence simultaneously, while the DAN-based model computes embeddings by averaging word embeddings, followed by a feedforward neural network. ...
  • 2
    Karlo

    Karlo

    Kakao Brain

    ...We started from scratch, utilizing a vast dataset of 115 million image-text pairs, which included COYO-100M, CC3M, and CC12M. In the case of the Prior and Decoder components, we harnessed the power of ViT-L/14, a text encoder from OpenAI's CLIP repository. To optimize efficiency, we made a significant modification to the original unCLIP implementation. Instead of employing a trainable transformer in the decoder, we integrated the text encoder from ViT-L/14.
    Starting Price: Free
  • 3
    DeepInspect

    DeepInspect

    SwitchOn, Inc

    ...DeepInspect leverages cutting-edge deep learning and computer vision to deliver high-speed, accurate inspections for a wide range of products such as glass bottles, capsules, and seals. The system supports over 1000 parts per minute using up to eight industrial cameras with various resolutions and shutter types. It features a no-code setup, enabling manufacturers to deploy inspections quickly without the need for data science expertise. DeepInspect integrates smoothly with industrial equipment from Siemens, Delta, Omron, and Mitsubishi, offering real-time traceability and analytics to optimize production quality. With 24/7 support and industrial-grade hardware, SwitchOn ensures reliability and long-term operation in demanding manufacturing environments.
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    SmolVLM

    SmolVLM

    Hugging Face

    ...It works with both text and image inputs, providing highly efficient results while being optimized for smaller, resource-constrained environments. Built with SmolLM2 as its text decoder and SigLIP as its image encoder, the model offers improved performance for tasks that require integration of both textual and visual information. SmolVLM-Instruct can be fine-tuned for specific applications, offering businesses and developers a versatile tool for creating intelligent, interactive systems that require multimodal inputs.
    Starting Price: Free
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    Pixtral Large

    Pixtral Large

    Mistral AI

    Pixtral Large is a 124-billion-parameter open-weight multimodal model developed by Mistral AI, building upon their Mistral Large 2 architecture. It integrates a 123-billion-parameter multimodal decoder with a 1-billion-parameter vision encoder, enabling advanced understanding of documents, charts, and natural images while maintaining leading text comprehension capabilities. With a context window of 128,000 tokens, Pixtral Large can process at least 30 high-resolution images simultaneously. The model has demonstrated state-of-the-art performance on benchmarks such as MathVista, DocVQA, and VQAv2, surpassing models like GPT-4o and Gemini-1.5 Pro. ...
    Starting Price: Free
  • 6
    Janus-Pro-7B
    Janus-Pro-7B is an innovative open-source multimodal AI model from DeepSeek, designed to excel in both understanding and generating content across text, images, and videos. It leverages a unique autoregressive architecture with separate pathways for visual encoding, enabling high performance in tasks ranging from text-to-image generation to complex visual comprehension. This model outperforms competitors like DALL-E 3 and Stable Diffusion in various benchmarks, offering scalability with versions from 1 billion to 7 billion parameters. Licensed under the MIT License, Janus-Pro-7B is freely available for both academic and commercial use, providing a significant leap in AI capabilities while being accessible on major operating systems like Linux, MacOS, and Windows through Docker.
    Starting Price: Free
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