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al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

aliciaa-svg

Config files for my GitHub profile.

aliciaa-svg.github.io

annotated_deep_learning_paper_implementations

🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, etc. 🧠

braingnn_pytorch

A preliminary implementation of BrainGNN

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

exercise

exercise for nndl

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-classification-on-brain-using-gcn

Utlizied brain's structural & functional connectivity to classify subjects using Graph Convolution Networks.

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

machine_learning_beginner

机器学习初学者公众号作品

mml-safety

nemu

nlp-project

numpy-ml

Machine learning, in numpy

pack

背包问题九讲

paperscripts

Scripts for our papers. Readers can check, replicate or make use of the scripts in their future studies.

powerful-gnns

How Powerful are Graph Neural Networks?

python

All Algorithms implemented in Python

pytorch-dl-note

qa_system

soco

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning