reuvenperetz

reuvenperetz's Stars

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.6k2412.5k3.3k

• microsoft/graphrag

  A modular graph-based Retrieval-Augmented Generation (RAG) system

  Language:Python17.8k1124711.7k

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.5k2616341.8k

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.3k434121.5k

• SakanaAI/AI-Scientist

  The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

  Language:Jupyter Notebook7.7k89991k

• pytorch/captum

  Model interpretability and understanding for PyTorch

  Language:Python4.8k267542489

• snort3/snort3

  Snort++

  Language:C++2.5k124309545

• Trusted-AI/AIF360

  A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

  Language:Python2.4k90251827

• WojciechMula/pyahocorasick

  Python module (C extension and plain python) implementing Aho-Corasick algorithm

  Language:C93622127122

• allenai/visprog

  Official code for VisProg (CVPR 2023 Best Paper!)

  Language:Python686151864

• locuslab/wanda

  A simple and effective LLM pruning approach.

  Language:Python62696181

• gnipping/Awesome-ML-SP-Papers

  A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security and NDSS).

  20713120

• munhouiani/Deep-Packet

  Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning

  Language:Jupyter Notebook18544156

• VainF/Diff-Pruning

  [NeurIPS 2023] Structural Pruning for Diffusion Models

  Language:Python15971210

• XiaoxinHe/Graph-ViT-MLPMixer

  Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"

  Language:Python1473722

• netx-repo/neuroplan

  Language:Python872420

• netsharecmu/NetShare

  (SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare

  Language:Python8282223

• cosmic-cortex/mlfz

  An educational machine learning library.

  Language:Python764

• Mr-Pepe/iscx-analysis

  Analysis of the ISCX VPN-nonVPN Dataset 2016 for Encrypted Network Traffic Classification

  Language:Python734213

• neurocuts/neurocuts

  NeuroCuts is a deep RL algorithm for generating optimized packet classification trees.

  Language:Python713727

• talshapira/FlowPic

  T. Shapira and Y. Shavitt, "FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification," in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2021.3071441.

  Language:Jupyter Notebook681619

• AI-secure/Meta-Nerual-Trojan-Detection

  Language:Python623112

• pwwl/enhanced-binary-diversification

  Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"

  Language:C47365

• meghdadk/SCRUB

  Language:Jupyter Notebook36254

• sunskyXX/Rosetta

  Language:Jupyter Notebook33123

• ict-net/PacRep

  Packet Representation Learning for Traffic Classification

  Language:Python27113

• noise-lab/NetDiffusion_Generator

  Language:Python26362

• cmu-snap/SurgeProtector

  Artifacts for the "SurgeProtector: Mitigating Temporal Algorithmic Complexity Attacks using Adversarial Scheduling" paper as it appears in SIGCOMM '22.

  Language:C++11612

• JC-S/cs231n-slides-spring2017

  Slides of cs231n-spring2017

  8102

• ssi-research/FQSS

  Fully quantized Neural Networks for Audio Source Separation

  Language:Python4200