深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

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📦 Collect some Asynchronous Federated Learning papers.

Writing AI Conference Papers: A Handbook for Beginners

Fast, memory-efficient, scalable optimization of deep learning with differential privacy

autodp: A flexible and easy-to-use package for differential privacy

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

LaTeX templates for papers, please select your conference or journal by switching branches.

Differentially Private Federated Learning: A Client Level Perspective

Practical One-Shot Federated Learning for Cross-Silo Setting

Continuation of Clash Verge - A Clash Meta GUI based on Tauri (Windows, MacOS, Linux)

Additional exercises and data for EE364a. No solutions; for public consumption.

Code for the paper "FedFisher: Leveraging Fisher Information for One-Shot Federated Learning" by Divyansh Jhunjhunwala, Shiqiang Wang, and Gauri Joshi, published in AISTATS 2024.

Statistical Learning course in USTC. 中科大统计学习（刘东）课程复习资料。

统计学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

《统计学习方法》笔记-基于Python算法实现

EPFL Course - Optimization for Machine Learning - CS-439

用于存放《最优化理论与算法》代码与课件

数学系本科三年级《最优化理论与方法》

扫描国内可用的谷歌翻译IP

互联网行业研发岗面试必备算法题配图解析及代码

《动手学大模型Dive into LLMs》系列编程实践教程

致力于实习/校招/社招进大厂打法，计算机基础知识学习，C++、Java、算法学习路线，专注于编程打法！

A codebase that makes differentially private training of transformers easy.

A curated list of safety-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights i…