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A latent text-to-image diffusion model
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Using Low-rank adaptation to quickly fine-tune diffusion models.
COCO API - Dataset @ http://cocodataset.org/
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
📔 在学院的书架上发现了一本不带脑子就能读懂的书《Python数据挖掘与实战》
MoVQGAN - model for the image encoding and reconstruction
[NeurIPS'24 Spotlight] Observational Scaling Laws