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traveldriffter's Projects

algorithmsbook

Preview of the textbook Algorithms for Decision Making

awesome-pytorch-list-cnversion

Awesome-pytorch-list 翻译工作进行中......

awesome-visual-representation-learning-with-transformers

Awesome Visual Representation Learning with Transformers

best-of-ml-python

🏆 A ranked list of awesome machine learning python libraries. Updated weekly.

bht-arima

Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)

book_nbs

Notebooks for upcoming fastai book (draft / incomplete)

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

deep-reinforcement-learning-algorithms

27 projects in the framework of Deep Reinforcement Learning algorithms: DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

easy-rl

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

gan_stability

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

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.

informer2020

The GitHub repository for the paper accepted by AAAI 2021.

load_forecasting

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

orbit

Wrapper of probabilistic languages to provide Bayesian time series modeling and inference

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

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-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

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