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Trong Vu

tattrongvu
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AI & ML interests

LLM, Reinforcement Learning, Robotics, Self-driving car, Computer Vision

Recent Activity

reacted to openfree's post with 🚀 1 day ago
Datasets Convertor 🚀 https://huggingface.co/spaces/openfree/Datasets-Convertor Welcome to Datasets Convertor, the cutting-edge solution engineered for seamless and efficient data format conversion. Designed with both data professionals and enthusiasts in mind, our tool simplifies the transformation process between CSV, Parquet, and JSONL, XLS file formats, ensuring that your data is always in the right shape for your next analytical or development challenge. 💻✨ Why Choose Datasets Convertor? In today’s data-driven world, managing and converting large datasets can be a daunting task. Our converter is built on top of robust technologies like Pandas and Gradio, delivering reliable performance with a modern, intuitive interface. Whether you’re a data scientist, analyst, or developer, Datasets Convertor empowers you to effortlessly switch between formats while maintaining data integrity and optimizing storage. Key Features and Capabilities: CSV ⇆ Parquet Conversion: Easily transform your CSV files into the highly efficient Parquet format and vice versa. Parquet’s columnar storage not only reduces file size but also accelerates query performance—a critical advantage for big data analytics. 🔄📂 CSV to JSONL Conversion: Convert CSV files to JSONL (newline-delimited JSON) to facilitate efficient, line-by-line data processing. This format is particularly useful for streaming data applications, logging systems, and scenarios where incremental data processing is required. Each CSV row is meticulously converted into an individual JSON record, preserving all the metadata and ensuring compatibility with modern data pipelines. 📄➡️📝 Parquet to JSONL Conversion: For those working with Parquet files, our tool offers a streamlined conversion to JSONL. Parquet to XLS Conversion.
updated a collection 4 days ago
VQA_Dataset
updated a collection 4 days ago
VQA_Dataset
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