cyljoker

UniSumm

UNISUMM: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning

MachineLearningNotes

My personal notes

Bigscity-LibCity-PaperList

Paper list in traffic prediction field

pytorch-original-transformer

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

SiGAT

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

meituan_comments_keywords_abstract

python提取评论标签关键词

space2vec

Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao. Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells, In: Proceedings of ICLR 2020, Apr. 26 - 30, 2020, Addis Ababa, ETHIOPIA .

coding-interview-university

A complete computer science study plan to become a software engineer.

tgn

TGN: Temporal Graph Networks

AAAI2020-RiskOracle

AAAIA2020-Accident Forecasting Experiments Setups

guide

The Student's Guide to @lintool

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

pytorch-SkipGram

Implementing Skip-gram Negative Sampling with pytorch

pytorchic-bert

Pytorch Implementation of Google BERT

traj-dist

A python package for computing distance between 2D trajectories.

trajectory_distance

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

GCN-PyTorch

Graph Convolution Network for PyTorch

Matrix_Derivatives

This is a note on matrix derivatives and described my own experience in detail. Hope you'll like it.

BDA_course_Aalto

Bayesian Data Analysis course at Aalto

GraphEmbedding

Implementation and experiments of graph embedding algorithms.

hawkeslib

fast parameter estimation for simpler Hawkes processes

ifl-tpp

Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)

valhalla

Open Source Routing Engine for OpenStreetMap

fmm

Fast map matching, an open source framework in C++

LDG

PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"

augmented-neural-odes

Pytorch implementation of Augmented Neural ODEs :sunflower:

LiteratureDL4Graph

A comprehensive collection of recent papers on graph deep learning