Pinned Repositories
Adapter4Rec
Multi-domain Recommendation with Adapter Tuning
Android_zkn
annotated_deep_learning_paper_implementations
🧑🏫 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, ... 🧠
applied-recommender-systems-python
Source Code for 'Applied Recommender Systems with Python' by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, and V Adithya Krishnan
Awesome-Generative-RecSys
A curated list of Generative Recommender Systems (Paper & Code)
berkeley-deep-RL-pytorch-solutions
Pytorch solutions for UC Berkeley's cs285 assignments
hobitat
兴趣爱好社区
humanoid-gym
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer
MMRec
A Toolbox for MultiModal Recommendation. Integrating 10+ Models...
rfuniverse
Robot physics simulation and RL platform based on Unity / 基于Unity的机器人物理仿真和RL平台
zkangning's Repositories
zkangning/example-code-2e
Example code for Fluent Python, 2nd edition (O'Reilly, 2021)
zkangning/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
zkangning/HomeworkTemplate
zkangning/berkeley-deep-RL-pytorch-solutions
Pytorch solutions for UC Berkeley's cs285 assignments
zkangning/free-programming-books
:books: Freely available programming books
zkangning/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
zkangning/example-code
Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)
zkangning/bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
zkangning/CS110L
Stanford CS110L: Safety in Systems Programming
zkangning/soft-prompt-tuning
zkangning/sayhello
A simple message board application build with Flask.
zkangning/wangshusne
zkangning/data-science-from-scratch
code for Data Science From Scratch book
zkangning/exercises_answers
计算机网络：自顶向下方法 （原书第七版）陈鸣译 课后习题参考答案（中文版+英文版）；计算机系统基础（第2版）袁春风 课后习题参考答案；操作系统教程（第5版）费翔林 课后习题参考答案；数据结构（用C++描述）殷人昆）课后习题参考答案；算法设计与分析 黄宇 课后习题参考答案；