A collection of my introduction to artificial intelligence course assignments. 2024年同济大学人工智能导论课程作业合集.

该仓库主要记录 推荐系统 算法工程师相关的面试题

A collection of my machine learning specialization (Andrew Ng) practice labs. 吴恩达机器学习专项课程实践实验室 (课程作业) 合集.

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

该仓库主要记录 NLP 算法工程师相关的面试题

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flo…

RF-GBDT-XGBOOST

集成学习思维导图

中文LaTeX简历模板

《机器学习》（西瓜书）公式详解

Evolutionary Reinforcement Learning: A local, Go implementation of Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

An implementation of the Augmented Random Search algorithm

A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

Source code for A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

《机器学习》（西瓜书）代码实战

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Re-implementations of SOTA RL algorithms.

Uplift Modeling for Multiple Treatments

Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and multiple responses

Local Generative Surrogate Optimisation algorithm