Pinned Repositories
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
ASTGCN
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
cd-diagram
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
DCRNN
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
graph-adversarial-learning-literature
A curated list of adversarial attacks and defenses papers on graph-structured data.
GraphEmbedding
Implementation and experiments of graph embedding algorithms.
GraphSAINT
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
spatial-temporal-forecast
xumwen's Repositories
xumwen/spatial-temporal-forecast
xumwen/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
xumwen/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
xumwen/ASTGCN
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
xumwen/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
xumwen/cd-diagram
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
xumwen/DCRNN
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
xumwen/graph-adversarial-learning-literature
A curated list of adversarial attacks and defenses papers on graph-structured data.
xumwen/GraphEmbedding
Implementation and experiments of graph embedding algorithms.
xumwen/GraphSAINT
[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).
xumwen/lit-llama
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
xumwen/meta-il
xumwen/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
xumwen/ogbn_dataset_test
Test sampler and gcn on ogbn dataset
xumwen/pure_graph
Test meta sampler on pure graph
xumwen/pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
xumwen/scalable_graph
xumwen/tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai