Pinned Repositories
2048-Game
Final Project for the course
advml2020
Advanced Topics in Statistical Machine Learning, Oxford Statistics, Hilary Term 2020
awesome-graph-based-semi-supervised-learning
A collection of resources for graph-based semi-supervised learning (GSSL).
graph-ai-deadlines
:alarm_clock: Graph AI conference deadline countdowns
GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
LeetCode
my codes and notes on LeetCode
MachineLearning
Machine Learning in Action（机器学习实战）
MiniAssembler
SEU_Yacc
capstone project for SEU CS Course Compiler
Super-Mario-Bros-PPO
IERG5350 Course Project, Fall 2020
AnthonySong98's Repositories
AnthonySong98/awesome-graph-based-semi-supervised-learning
A collection of resources for graph-based semi-supervised learning (GSSL).
AnthonySong98/MiniAssembler
AnthonySong98/Super-Mario-Bros-PPO
IERG5350 Course Project, Fall 2020
AnthonySong98/graph-ai-deadlines
:alarm_clock: Graph AI conference deadline countdowns
AnthonySong98/advml2020
Advanced Topics in Statistical Machine Learning, Oxford Statistics, Hilary Term 2020
AnthonySong98/GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
AnthonySong98/AutoGL
An autoML framework & toolkit for machine learning on graphs.
AnthonySong98/benchmarking-gnns
Repository for benchmarking graph neural networks
AnthonySong98/Best_AI_paper_2020
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
AnthonySong98/brain-tokyo-workshop
🧠🗼
AnthonySong98/cuda_scheduling_examiner_mirror
A public mirror of an internally-maintained tool for examining GPU scheduling behavior.
AnthonySong98/deepsnap
Python library assists deep learning on graphs
AnthonySong98/deepwalk
DeepWalk - Deep Learning for Graphs
AnthonySong98/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
AnthonySong98/E2E
AnthonySong98/GAN-for-tabular-data
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
AnthonySong98/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
AnthonySong98/graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP
AnthonySong98/gym-super-mario-bros
An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
AnthonySong98/ierg5350-assignment
AnthonySong98/node2vec
Implementation of the node2vec algorithm.
AnthonySong98/NuIntClassification
Classification of neutrino interactions.
AnthonySong98/pytorch-styleguide
An unofficial styleguide and best practices summary for PyTorch
AnthonySong98/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
AnthonySong98/Random_Forest
AnthonySong98/score_sde
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
AnthonySong98/se3-transformer-public
code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503
AnthonySong98/Sentiment-analysis-on-IMDb-movie-reviews
Course Project for ENGG 5103
AnthonySong98/SEU-Beamer-Slide
东南大学幻灯片模板（豪华版）:clipboard:
AnthonySong98/SuperGAT
Official implementation of Self-supervised Graph Attention Networks (SuperGAT), ICLR 2021.