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Label Studio is a multi-type data labeling and annotation tool with standardized output format
Open Source Data Annotation & Labeling Tools
🦄️ 🎃 👻 Clash Premium 规则集(RULE-SET)，兼容 ClashX Pro、Clash for Windows 等基于 Clash Premium 内核的客户端。
Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓
This repository implements the chain of verification paper by Meta AI
Writing AI Conference Papers: A Handbook for Beginners
[ACL 2024] A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation
Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources
A collection of AWESOME things about mixture-of-experts
A curated list of awesome 3d generation papers
Typecho two-column blog theme, based on bootstrap 4.11 development
A collection of resources on controllable generation with text-to-image diffusion models.
Auto-encoding & Generating 3D Point-Clouds.
A parser for Google Scholar, written in Python
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Tracking and collecting papers/projects/others related to Segment Anything.
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Metric depth estimation from a single image
Official code for the paper "LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes".
Code for 3D-LLM: Injecting the 3D World into Large Language Models
source code for Stable Diffusion with Perp-Neg
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
