Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon Open Dataset for Malware AnalysiS.
- malware
- pe-malware
- malware-dataset
- malware-research
Repository Index
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AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
Effects of packers on machine-learning-based malware classifiers that use only static analysis
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
- biological-images
- root
- painter
- segmentation
:mega: Python library for audio augmentation
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
- beginner-friendly
- beginner-project
- deep-learning
- deep-neural-networks
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
- lda
- multilingual
- machine-learning
- latent-dirichlet-allocation
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
- computational-biology
- bioinformatics
- graph-convolution
- deep-learning
Converts spoken words into text form.
- docker-image
- codait
- ibm
- machine-learning
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
- deep-generative-model
- deep-learning
- single-cell-data-integration
- single-cell-multiomics
Unsupervised Image to Image Translation with Generative Adversarial Networks
- tensorflow
- tensorlayer
- deep-learning
- image-to-image
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
- tensorlayer
- dagger
- gym-torcs
- imitation-learning
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection
- docker-image
- executable-packing
- malware-packers
- research-platform
A collection of machine-learned models for use in autonomous driving applications.
- model-zoo
- autoware
- machine-learning
- autonomous-driving
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
- cryptocurrency
- exchange
- trade
- data
Detect the sentiment captured in short pieces of text
- docker-image
- machine-learning
- machine-learning-models
- ibm
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
An Easy To Use PyTorch Computer Vision Library
- computer-vision
- deep-learning
- pytorch
- pytorch-lightning
🛡️ Free AI that blocks hackers while you sleep. Runs on cheap hardware. When someone in Tokyo gets attacked, you're protected in 30 seconds. No fees. No experts needed. Just protection. One node's detection → everyone's protection.
- ai-security
- cybersecurity
- ids
- iot-security
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
- interpretability
- machine-learning
- contrastive-explanations
- foil
MCP server for spatial transcriptomics analysis through natural language interfaces.
- bioinformatics
- cell-communication
- deconvolution
- machine-learning
Proof Of Concept of DEcentralised Machine Learning on top of the Golem (https://golem.network/) architecture
- golem
- decentralised-machine-learning
- federated-learning
Stream Processing Made Easy
- machine-learning
- reactive-programming
- kafka
- reactive-systems
Cryptographic Dataset Generation & Modelling Framework