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ustctpl's Projects
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, ... 🧠
apollo
An open autonomous driving platform
argo-events
Event-driven workflow automation framework
coursera-ml-using-matlab-python
coursera吴恩达机器学习课程作业自写Python版本+Matlab原版
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60多个国家的400多所大学用于教学。
dask-tutorial
Dask tutorial
deeplearningsystem
Deep Learning System core principles introduction.
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
exercise
exercise for nndl
fingpt
Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model.
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.
machine-learning
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
python-machine-learning
机器学习算法项目
python3-cookbook
《Python Cookbook》 3rd Edition Translation
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
quantsplaybook
量化研究-券商金工研报复现
scikit-learn
scikit-learn: machine learning in Python
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