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Name: Kevin-Philosopher

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Kevin-Philosopher's Projects

algorithms

Minimal examples of data structures and algorithms in Python

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

annotated_research_papers

This repo contains annotated research papers that I found really good and useful

assignment1-2018

Assignment 1: automatic differentiation

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

drl-for-microgrid-energy-management

We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a population of thermostatically controlled loads, a population of price-responsive loads, and a connection to the main grid. The proposed energy management system is designed to coordinate between the different sources of flexibility by defining the priority resources, the direct demand control signals and the electricity prices. Seven deep reinforcement learning algorithms are implemented and empirically compared in this paper. The numerical results show a significant difference between the different deep reinforcement learning algorithms in their ability to converge to optimal policies. By adding an experience replay and a second semi-deterministic training phase to the well-known Asynchronous advantage actor critic algorithm, we achieved considerably better performance and converged to superior policies in terms of energy efficiency and economic value.

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

easy-scraping-tutorial

Simple but useful Python web scraping tutorial code.

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastnlp

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

joyful-pandas

pandas中文教程

microgrid-rl

Microgrid/distribution network level energy market managed by an RL agent

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

numpy-100

100 numpy exercises (with solutions)

numpy-ml

Machine learning, in numpy

pandas_advanced_exercise

Pandas进阶修炼300题

python-100-days

Python - 100天从新手到大师

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

spinningup

An educational resource to help anyone learn deep reinforcement learning.

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

the-kaggle-book

Code Repository for The Kaggle Book, Published by Packt Publishing

tianchi-antaicup-international-e-commerce-artificial-intelligence-challenge

1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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