Jiangangyang_CAS's starred repositories
scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
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
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
awesome_time_series_in_python
This curated list contains python packages for time series analysis
robustbench
RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
TimeSeries_Seq2Seq
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
WSL-Images
Weakly Supervised Learning On Images
vision-transformers-cifar10
Let's train vision transformers (ViT) for cifar 10!
imagecorruptions
Python package to corrupt arbitrary images.
awesome-causal-vision
A curated list of research papers in exploring causality in vision. Link to the code if available is also present.
highdimensional-decision-boundary-plot
Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compatible)
boundary-attack
Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).
2018_diantou_PhotovoltaicPowerStation
2018光伏发电预测比赛，结果a榜22/801 ，b榜44/801
NN_decision_boundary
On the decision boundary of deep neural networks
decision-boundaries
code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-
topology-decision-boundaries
Topology of decision boundaries
A-Unified-Game-Theoretic-Interpretation-of-Adversarial-Robustness
The official implementation of A Unified Game-Theoretic Interpretation of Adversarial Robustness.
PyTorch-Adversarial-Attack-Baselines-for-ImageNet-CIFAR10-MNIST
PyTorch adversarial attack baselines for ImageNet, CIFAR10, and MNIST (state-of-the-art attacks comparison)
pytorch_influence_functions
This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
centered_kernel_alignment
Implementation of Centered Kernel Alignment (CKA)