cyljoker's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
valhalla/valhalla
Open Source Routing Engine for OpenStreetMap
JWarmenhoven/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
hibayesian/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
shenweichen/GraphEmbedding
Implementation and experiments of graph embedding algorithms.
DeepGraphLearning/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
avehtari/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
tsyw/MachineLearningNotes
My personal notes
dsgiitr/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
gordicaleksa/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.
twitter-research/tgn
TGN: Temporal Graph Networks
cyang-kth/fmm
Fast map matching, an open source framework in C++
dhlee347/pytorchic-bert
Pytorch Implementation of Google BERT
soloice/Matrix_Derivatives
This is a note on matrix derivatives and described my own experience in detail. Hope you'll like it.
EmilienDupont/augmented-neural-odes
Pytorch implementation of Augmented Neural ODEs :sunflower:
dragen1860/GCN-PyTorch
Graph Convolution Network for PyTorch
bguillouet/traj-dist
A python package for computing distance between 2D trajectories.
lintool/guide
The Student's Guide to @lintool
LibCity/Bigscity-LibCity-PaperList
Paper list in traffic prediction field
maikol-solis/trajectory_distance
gengchenmai/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 .
uoguelph-mlrg/LDG
PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"
shchur/ifl-tpp
Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
canerturkmen/hawkeslib
fast parameter estimation for simpler Hawkes processes
microsoft/UniSumm
UNISUMM: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning
huangjunjie-cs/SiGAT
source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)
blackredscarf/pytorch-SkipGram
Implementing Skip-gram Negative Sampling with pytorch
zzyy0929/AAAI2020-RiskOracle
AAAIA2020-Accident Forecasting Experiments Setups
yuhui7pm/meituan_comments_keywords_abstract
python提取评论标签关键词