An6666's repositories
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
kslin-academic.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
alignn
Atomistic Line Graph Neural Network
benchmarking-gnns
Repository for benchmarking graph neural networks
free
freefq账号已恢复！翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子 -- free proxy node configuration, let programmers from China freely access the global network. Regular updates every 4 hours.
waste-datasets-review
List of image datasets with any kind of litter, garbage, waste and trash
darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
deep_learning_object_detection
A paper list of object detection using deep learning.
GDM
Repository of the paper "Machine learning dismantling and early-warning signals of disintegration in complex systems" by M. Grassia, M. De Domenico and G. Mangioni
openhardwaremonitor
Open Hardware Monitor
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
GNN_note
图神经网络整理
pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
transdim
Machine learning for transportation data imputation and prediction.
TimeGAN
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
Time-series-prediction
A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats
PyTorch-Networks
Pytorch implementation of cnn network
Divide-and-Co-training
[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.
EfficientNet
Implementation of EfficientNet: Rethinking Model Scaling for CNNs
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data