AnAppleCore
Ph.D. student @ THU | Interested in Bio-inspired AI and Continual Learning
IDG/McGovern Institute, Tsinghua UniversityBeijing, China
AnAppleCore's Stars
2dust/v2rayNG
A V2Ray client for Android, support Xray core and v2fly core
2dust/v2rayN
A GUI client for Windows and Linux, support Xray core and sing-box-core and others
yoyo-nb/Thin-Plate-Spline-Motion-Model
[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
pengzhiliang/MAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Grasscutters/Grasscutter
A server software reimplementation for a certain anime game.
martisak/dotnets
Create simple drawings of neural networks using graphviz
gwding/draw_convnet
YoYo000/BlendedMVS
BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
Vaa3D/vaa3d_tools
www.vaa3d.org
Dimsmary/OpenSTM
A Scanning Tunneling Microscope Project
gordicaleksa/pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
Diego999/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
daiquocnguyen/Graph-Transformer
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
MenghaoGuo/Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
google/benchmark
A microbenchmark support library
louisfb01/start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
louisfb01/Best_AI_paper_2020
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
thunlp/NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
thunlp/KRLPapers
Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
paperswithcode/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
osmr/imgclsmob
Sandbox for training deep learning networks
metriculous-ml/metriculous
Measure and visualize machine learning model performance without the usual boilerplate.
Lightning-AI/torchmetrics
Machine learning metrics for distributed, scalable PyTorch applications.
benhamner/Metrics
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Jittor/jittor
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
paperswithcode/ai-deadlines
:alarm_clock: AI conference deadline countdowns
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.