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Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
This repository contains demos I made with the Transformers library by HuggingFace.
Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)
An annotated implementation of the Transformer paper.
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
[Lumina Embodied AI Community] 具身智能技术指南 Embodied-AI-Guide
deep learning for image processing including classification and object-detection etc.
The deeplearning algorithms implemented by tensorflow
A curated list of the most impressive AI papers
《Python深度学习基于PyTorch》第2版 吴茂贵、郁明敏、杨本法、李涛等著
Implementation of the Frank-Wolfe optimization algorithm in Python with an application for solving the LASSO problem.
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes.git
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
Building DeepSeek R1 from Scratch
Probably the best curated list of data science software in Python.
Code for the 15th place submission at Trading at the Close competition
AcadHomepage: A Modern and Responsive Academic Personal Homepage
《动手做科研》面向科研初学者，一步一步地展示如何入门人工智能科研