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ai-learn

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

awesome-semi-supervised-semantic-segmentation

A summary of recent semi-supervised semantic segmentation methods

break-the-ice-with-python

The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways

co-teaching_python3

This the python3 version of Co_teaching project.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

cvpr23_attack

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

gao-qing-shang

chat

hello-world

Repository practice

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

lzu-auto-covid-health-report

LZU Auto COVID Health Report.(兰州大学疫情期间自动定时健康打卡)

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

organsegrstn_pytorch

PyTorch implementation of OrganSegRSTN - CVPR 2018

python-100-days

Python - 100天从新手到大师

pytorch-tutorial

Build your neural network easy and fast, 莫烦Python中文教学

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

ref2bib

给定一个参考文献列表，爬取谷歌学术生成bib文件

semi

Rencent Semi-Supervised Semantic Segmentation Projects

torchsemiseg

[CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

u2pl

[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

understanding_dl

A lecture note for understanding deep learning

unimatch

Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation