2881 Open source projects that are alternatives of or similar to Pygraphistry

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Memory efficient MAML using gradient checkpointing

This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is faster than the state-of-the-art implementations. Existing the state-of-the-art library also decompresses the whole embedding tables on the fly therefore they do not provide memory reduction during runtime of the training. Our library decompresses only the requested rows therefore can provide 10,000 times memory footprint reduction per embedding table. The library also includes a software cache to store a portion of the entries in the table in decompressed format for faster lookup and process.

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it's like Rainmeter, but for CLI!

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

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Weighted Softmax Loss Layer for Caffe

NVBIO is a library of reusable components designed to accelerate bioinformatics applications using CUDA.

Elixir driver for the Neo4j graph database server

CSV, JSON, XML text parsers and generators written in pure POSIX shellscript

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[RETIRED] Converts a notebook to a dashboard and deploys it / downloads it

torch data augmentation toolbox (supports affine transform)

Coding/technical interview guide: data structures, algorithms, complexity analyses, interview questions

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ICCV2015 Image Super-Resolution Using Deep Convolutional Networks

点云深度学习框架 | Point cloud Deep learning Framework

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

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Web-scraping script that writes the data of all players from FutHead and FutBin to a CSV file or a DB

A React component library, providing concise and beautiful diversity charts with Canvas, SVG, E-map, WebGL, Dom, based on data visualization experience and commercial data display practice.

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The style transfer android example

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📚前端书籍汇集点 + 每日好文推荐 + 公开课学习资料 + 各种大会资料

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