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Tongji U, @latentcat
- Shanghai, China
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12:50
(UTC +08:00) - https://troyni.com
- @nhciao
- u/nhciao
- https://discord.gg/V9CNuqYfte
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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.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
搜集、整理、发布 中文 自然语言处理 语料/数据集,与 有志之士 共同 促进 中文 自然语言处理 的 发展。
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation 🔥
ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the u…
Numba tutorial for GTC 2017 conference
Numba tutorial for GTC 2018