子彭 高's repositories
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
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.
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
nlp_course
YSDA course in Natural Language Processing
NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
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
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.