Changzhisong
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天机是一款专注人情世故的大语言模型系统。由 SocialAI（来事儿AI）社区小伙伴制作，免费使用、非商业用途。您可以利用它进行涉及传统人情世故的任务，如何说好话、如何会来事儿等，以提升您的“情商”和"核心竞争能力"
《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合中国宝宝的部署教程
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, I…
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
A library of metrics for evaluating recommender systems
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
高性能、小巧、易上手的移动跨平台开发框架. A framework for building Mobile cross-platform apps with Lua
The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset
Representation learning on large graphs using stochastic graph convolutions.
《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
tensorflow实战练习，包括强化学习、推荐系统、nlp等
Official electron build of draw.io
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
Everything you need to know to get the job.
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
Changzhisong / lihang-code
Forked from fengdu78/lihang-code《统计学习方法》的代码实现
My blogs and code for machine learning. http://cnblogs.com/pinard
Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow