China

jingyaogong

Elite
@jingyaogong

无限进步

minimind. 🧠「大模型」2小时完全从0训练64M的小参数LLM！Train a 64M-parameter LLM from scratch in just 2h!

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minimind-v. 👀「大模型」2小时从0训练65M参数的视觉多模态VLM！Train a 65M-parameter VLM from scratch in just 2h!

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minimind-o. 🎙️ 「大模型」从0训练0.1B能听能说能看的全模态Omni模型！A 0.1B Omni model trained from scratch, capable of listening, speaking, and seeing!

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editext. [Android] Verification code and serial number input box

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DDNM. [ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

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face_rec. Python

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jingyaogong.

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MCFD-Net. [AAAI'2024] Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing

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Deep-Compressive-Sensing. Collection of reproducible deep learning for compressive sensing

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jingyaogong.github.io. my page

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