Yun (Charles) YE's Projects
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Coursera
Config files for my GitHub profile.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Learn data structure and algorithm
A simple method to perform semi-supervised learning with limited data.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
刷题的记录
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
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
An educational resource to help anyone learn deep reinforcement learning.
开课吧文本分类