-
Renmin University of China
- Beijing,China
-
10:23
(UTC +08:00)
Stars
本项目是对《Neural Networks from Scratch in Python》读后的总结,在本项目中将应用Python(numpy)从0开始实现一个全连接神经网络,提供所有可运行代码,并对每一段代码加入注释(自己的理解)。本项目内容包括:全连接层、激活函数、损失函数、梯度、反向传播、优化器、正则化、dropout、数据集处理、模型验证、参数保存和下载、预测推理。
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
This project demonstrates option pricing using Monte Carlo simulations in Python. It focuses on European call options and path-dependent options, simulating thousands of possible future stock price…
Solutions to the books Stochastic Calculus for Finance by Steven E. Shreve
Advanced Financial Market Forecasting: Integrating Monte Carlo Simulations with Ensemble Machine Learning Models
Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Monte Carlo simulation of the classical spin ice model.
Pretty fast solvers for Ising spin glasses
Implementation of Quine McCluskey algorithm in Python 3
A python implementation of the Quine McCluskey algorithm.
Simulation and visualization of quantum error correcting codes
To find the generators of the dual lattice of an integral lattice
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.