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快速上手Ai理论及应用实战:基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集,力求每一位能看懂并复现。
数据结构和算法必知必会的50个代码实现
Minimal examples of data structures and algorithms in Python
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Google Colaboratory Notebooks and Repositories (by @firmai)
The AI Agent Framework in .NET
This is my repository for Data Structures using Python
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
《动手学大模型Dive into LLMs》系列编程实践教程
EPI Judge - Preview Release
A work in progress. Trying to write about all interesting or necessary pieces in the current development of LLMs and generative AI. Gradually adding more topics.
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152, ICML'24).
decentralising the Ai Industry, just some language model api's...
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
Jupyter notebooks for teaching/learning Python 3
leetcode Study
《统计学习方法》的代码实现
LintCode python practice
主要记录大语言大模型(LLMs) 算法(应用)工程师相关的知识及面试题
Implementing a ChatGPT-like LLM from scratch, step by step
:earth_americas: machine learning tutorials (mainly in Python3)
List of interesting articles on different topics of machine learning and deep learning
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A booklet on machine learning systems design with exercises
Mathematical derivation and pure Python code implementation of machine learning algorithms.
机器学习算法python实现
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
https://huyenchip.com/ml-interviews-book/
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.