molab

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AdityaKr015 / aerial-segmentation

Semantic segmentation of aerial imagery into 5 land-cover classes — 0.72 mIoU on LandCover.ai with a pretrained EfficientNet-B0 U-Net and Gradio demo.

computer-vision deep-learning pytorch gradio semantic-segmentation kaggle-dataset unet-image-segmentation efficientnetb0 aerial-image-segmentation molab droneimaginery

Updated Aug 13, 2026
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pinkelephantlimited / max-quality-llm-96gb-vram

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Maximum-quality open-source LLMs on molab (Blackwell B6000, 96 GB) — trains Pink Elephant GPT-2 1B from scratch with auto HF checkpoint uploads, plus high-quality Llama 3.1 70B inference.

training open-source llama hong-kong gpt2 huggingface blackwell llm molab pink-elephant