LixL's starred repositories
atomic-red-team
Small and highly portable detection tests based on MITRE's ATT&CK.
security_content
Splunk Security Content
atomic-threat-coverage
Actionable analytics designed to combat threats
ThreatHunter-Playbook
A community-driven, open-source project to share detection logic, adversary tradecraft and resources to make detection development more efficient.
adversary_emulation_library
An open library of adversary emulation plans designed to empower organizations to test their defenses based on real-world TTPs.
AdversaryEmulation
MAD ATT&CK Defender: ATT&CK Adversary Emulation Repository
Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
tensorflow-federated
An open-source framework for machine learning and other computations on decentralized data.
experiment_with_tf_federated
Comparison between federated and centralized training method
LSTM-Sentiment-Analysis
Sentiment Analysis with LSTMs in Tensorflow
pytorch-GCN
PyTorch implementation of the Graph Convolutional Network by Kipf et al.
benfordslaw
benfordslaw is about the frequency distribution of leading digits.
PyTorch-Networks
Pytorch implementation of cnn network
pytorch-cnn-finetune
Fine-tune pretrained Convolutional Neural Networks with PyTorch
TraMaS-Weak-Shot-Object-Detection
[NeurIPS 2021] A weak-shot object detection approach by transferring semantic similarity and mask prior.
torch-dataset
An extensible and high performance method of reading, sampling and processing data for Torch
Induction-Network-on-FewRel
An attempt at replicating the Induction Network for FewRel data in Tensorflow
meta-learning-lstm
This repo contains the source code accompanying a scientific paper with the same name.
Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
pytorch_lstm_01intro
The most basic LSTM tagger model in pytorch; explain relationship between nll loss, cross entropy loss and softmax function.