PyTorch implementation of Deeplog: Anomaly detection and diagnosis from system logs through deep learning

HTTP Fuzzer based on transformer ML model

LLM powered fuzzing via OSS-Fuzz.

Official repository of the paper "Explainable Deep Learning Methods in Medical Image Classification: A Survey", ACM Computing Surveys (CSUR) 2023

[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…

Learn System Design concepts and prepare for interviews using free resources.

Open Source C++ implementation of the OCPP 1.6 protocol

JQF + Zest: Coverage-guided semantic fuzzing for Java.

GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.

[AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

gramfuzz is a grammar-based fuzzer that lets one define complex grammars to generate text and binary data formats.

Unsupervised Learning of Syntax

👨‍💻 My PhD.

Automatically fuzz Rust projects from scratch

Jinsheng Ba, a PhD student working testing at NUS

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Mirror only see https://gitlab.rtems.org/rtems/rtos/rtems

Inference code for Llama models

Train RNNs to recognize regular languages.

Non-official implementation of Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection

A Collection of Variational Autoencoders (VAE) in PyTorch.

Fuzzware's main repository. Start here to install.

Use Frida DBI to instrument binary and perform basic-block code coverage that is fed back to AFL.

This experimetal fuzzer is meant to be used for API in-memory fuzzing.

user-mode TCP/IP stack based on linux tap device