Pinned Repositories
CEZZI
Config files for my GitHub profile.
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
Data-analysis-business-knowledge
Data analysis business knowledge
DeepBSDE
Deep BSDE solver in TensorFlow
ML-homework
吴恩达机器学习作业2
Note_sklearn
Scikit_Learn
petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
python_data_analysis
数据分析/挖掘学习路线 持续更新~~~~ 欢迎一起交流哈
Pytorch_DeepLearing
Pytorch&DeepLearing
SQL_DataVsualization
SQL_DataVsualization
CEZZI's Repositories
CEZZI/Note_sklearn
Scikit_Learn
CEZZI/Pytorch_DeepLearing
Pytorch&DeepLearing
CEZZI/SQL_DataVsualization
SQL_DataVsualization
CEZZI/CEZZI
Config files for my GitHub profile.
CEZZI/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
CEZZI/Data-analysis-business-knowledge
Data analysis business knowledge
CEZZI/DeepBSDE
Deep BSDE solver in TensorFlow
CEZZI/ML-homework
吴恩达机器学习作业2
CEZZI/petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
CEZZI/python_data_analysis
数据分析/挖掘学习路线 持续更新~~~~ 欢迎一起交流哈
CEZZI/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We us
CEZZI/Time2Vec-PyTorch
Reproducing the paper: "Time2Vec: Learning a Vector Representation of Time" - https://arxiv.org/pdf/1907.05321.pdf