xeniacjen

xeniacjen's Stars

• prosysscience/RL-Job-Shop-Scheduling

  Reinforcement learning approach for job shop scheduling

  Language:Python24175

• pyyush/GraphML

  PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"

  Language:Python153

• Graph-Learning-Benchmarks/gli

  🗂 Graph Learning Indexer: a contributor-friendly and metadata-rich platform for graph learning benchmarks. Dataloading, Benchmarking, Tagging, and more!

  Language:Python4220

• mph-/lcapy

  Lcapy is a Python package for symbolic linear circuit analysis and signal processing. It uses SymPy for symbolic mathematics.

  Language:Python24747

• sigeisler/reliable_gnn_via_robust_aggregation

  This repository contains the official implementation of the paper "Reliable Graph Neural Networks via Robust Aggregation" (NeurIPS, 2020).

  Language:Python174

• sigeisler/robustness_of_gnns_at_scale

  This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).

  Language:Jupyter Notebook289

• u1234x1234/kdd2020-graph-adversarial-attacks-defence

  6th place solution to KDD CUP 2020 Graph Adversarial Attacks & Defense

  Language:Python2

• pytorch/botorch

  Bayesian optimization in PyTorch

  Language:Jupyter Notebook3.1k411

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python8k1.6k

• davda54/sam

  SAM: Sharpness-Aware Minimization (PyTorch)

  Language:Python1.8k195

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.6k9.6k

• TropComplique/trained-ternary-quantization

  Reducing the size of convolutional neural networks

  Language:Jupyter Notebook11229

• neurosim/DNN_NeuroSim_V1.3

  Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)

  Language:C++6437

• elliothe/pytorx

  Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory

  Language:Python3622

• pokaxpoka/deep_Mahalanobis_detector

  Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

  Language:Python34378

• jeonsworld/ViT-pytorch

  Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

  Language:Jupyter Notebook2k378

• alluly/dMNN

  Modeling high dimensional extremes with d-max-decreasing neural networks.

  Language:Jupyter Notebook2

• zjysteven/MixOE

  [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments

  Language:Python254

• hendrycks/outlier-exposure

  Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

  Language:Python550109

• relston/iconicindex

  Language:JavaScript3

• chinyichun/programthinkmirror

  Language:HTML5014

• IBM/CLEVER-Robustness-Score

  Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach,” ICLR 2018 ​​​​​​​

  Language:Python4918

• NVlabs/iccad2020-GPUgatesim

  Language:Python13

• marcellodebernardi/loss-landscapes

  Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch

  Language:Python31253

• adiyoss/WatermarkNN

  Watermarking Deep Neural Networks (USENIX 2018)

  Language:Python9331

• AakashKumarNain/annotated_research_papers

  This repo contains annotated research papers that I found really good and useful

  2.7k262

• AkhilanB/CNN-Cert

  Language:C213

• udacity/CarND-Behavioral-Cloning-P3

  Starting files for the Udacity CarND Behavioral Cloning Project

  Language:Python4451.7k

• tianzheng4/Distributionally-Adversarial-Attack

  AAAI 2019 oral presentation

  Language:Python5012

• MadryLab/mnist_challenge

  A challenge to explore adversarial robustness of neural networks on MNIST.

  Language:Python737179