A collection of useful scripts for the CDT cluster.

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

Deep Learning (with PyTorch)

Code for Stanford CS224u

Graph Neural Networks with Keras and Tensorflow 2.

Open-source demos hosted on Dash Gallery

智能计算系统作业

Network Analysis in Python

Fork of Rockchip's BSP kernel with lots of patches, backports, and custom fixes - currently tested on the RockPi4, Rock64, Rockbox, and Rockpro64

The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See，感谢所有助教！

IAML Labs student repository

Recipes for using Python's pandas library

Deep Learning Specialization by Andrew Ng on Coursera.

A Keras port of Single Shot MultiBox Detector

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

A simplified implemention of Faster R-CNN with competent performance

PyTorch implementation of the YOLO (You Only Look Once) v2

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

Kaggle datascience bowl 2017

Content for Udacity's Machine Learning curriculum

Next generation of PvPGN server

Recurrent Neural Network - A curated list of resources dedicated to RNN

PyTorch Tutorial for Deep Learning Researchers

Unet