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From: 14 August 2024 - To: 13 September 2024

Total Time: 94 hrs 1 min

Python       85 hrs 18 mins  ā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–ˆā–“ā–‘ā–‘   90.70 %
Text         4 hrs 40 mins   ā–ˆā–’ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘   04.97 %
Bash         2 hrs 20 mins   ā–“ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘   02.48 %
CSV          53 mins         ā–’ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘   00.95 %
JSON         36 mins         ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘ā–‘   00.64 %

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Kangrui Cen's Projects

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Iterative Synthetic Data Generation for Self-supervised Learning. Course Project for SJTU CS3964 Computer Vision.

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GLIDE: a diffusion-based text-conditional image synthesis model

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StyleTransfer4Image: Leverage Diffusion Prior to do - 1. Generate faces with random gaussian noise; 2. CLIP-Based Style Transfer; 3. Image-to-Image Style Transfer. Course project of CS3964 Image Processing.

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