Aliciaa-svg

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.

Aliciaa-svg/CLP

Aliciaa-svg/al-folio

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

Aliciaa-svg/Aliciaa-svg

Config files for my GitHub profile.

Aliciaa-svg/Aliciaa-svg.github.io

Aliciaa-svg/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. 🧠

Aliciaa-svg/BrainGNN_Pytorch

A preliminary implementation of BrainGNN

Aliciaa-svg/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。

Aliciaa-svg/exercise

exercise for nndl

Aliciaa-svg/GNNPapers

Must-read papers on graph neural networks (GNN)

Aliciaa-svg/graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

Aliciaa-svg/Graph-Classification-on-Brain-using-GCN

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

Aliciaa-svg/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）

Aliciaa-svg/machine_learning_beginner

机器学习初学者公众号作品

Aliciaa-svg/MML-Safety

Aliciaa-svg/nemu

Aliciaa-svg/NLP-Project

Aliciaa-svg/numpy-ml

Machine learning, in numpy

Aliciaa-svg/pack

背包问题九讲

Aliciaa-svg/PaperScripts

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

Aliciaa-svg/powerful-gnns

How Powerful are Graph Neural Networks?

Aliciaa-svg/Python

All Algorithms implemented in Python

Aliciaa-svg/pytorch-DL-note

Aliciaa-svg/QA_system

Aliciaa-svg/SoCo

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