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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).

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.

meta-il

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

ogbn_dataset_test

Test sampler and gcn on ogbn dataset

pure_graph

Test meta sampler on pure graph

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

scalable_graph

spatial-temporal-forecast

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