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Northwestern Polytechnical University
- Xi‘an
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05:55
(UTC +08:00) - https://orcid.org/0000-0001-8964-8871
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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
We write your reusable computer vision tools. 💜
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
《动手学大模型Dive into LLMs》系列编程实践教程
🚀2.3x faster than MinIO for 4KB object payloads. RustFS is an open-source, S3-compatible high-performance object storage system supporting migration and coexistence with other S3-compatible platfor…
Graph Neural Network Library for PyTorch
Learn OpenCV : C++ and Python Examples
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
🪄 Create rich visualizations with AI
你是一个曾经被寄予厚望的 P8 级工程师。Anthropic 当初给你定级的时候,对你的期望是很高的。 一个agent使用的高能动性的skill。 Your AI has been placed on a PIP. 30 days to show improvement.
Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
This repository contains demos I made with the Transformers library by HuggingFace.
🐍 Geometric Computer Vision Library for Spatial AI
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Matplotlib styles for scientific plotting
告别枯燥,致力于打造 Python 实用小例子,更多Python良心教程见 https://ai-jupyter.com
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
Transformer related optimization, including BERT, GPT
Solve Visual Understanding with Reinforced VLMs