Alexander Visheratin
visheratin
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Run modern deep learning models in the browser.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Repositories
33Run modern deep learning models in the browser.
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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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An open source implementation of CLIP.
[NeurIPS'23 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.
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the AI-native open-source embedding database
CLIP-like model evaluation
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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Restoring old and blurry face photos with AI.
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A simple, minimalistic Hugo theme. View Demo here
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Golang version of Read/Write parquet file
helloworld, nothing suspicious
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