Aliciaa-svg's repositories
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
Aliciaa-svg
Config files for my GitHub profile.
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
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
SoCo
[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning