20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
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HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.
The OWASP Mobile Application Security Testing Guide (MASTG) is a comprehensive manual for mobile app security testing and reverse engineering. It describes technical processes for verifying the OWASP Mobile Security Weakness Enumeration (MASWE) weaknesses, which are in alignment with the OWASP MASVS.
TranslatedMachine learning tutorials
A MNIST-like fashion product database. Benchmark :point_down:
Scapy: the Python-based interactive packet manipulation program & library.
- scapy
- python
- network
- network-analysis
The ultimate training toolkit for finetuning diffusion models
fsociety Hacking Tools Pack – A Penetration Testing Framework
- fsociety
- exploitation
- port-scanning
- fsociety-hacking
🐍 Geometric Computer Vision Library for Spatial AI
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
- attention
- pytorch
- paper
- cbam
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
pix2code: Generating Code from a Graphical User Interface Screenshot
- deep-learning
- datasets
- deep-neural-networks
- front-end-development
Low-code framework for building custom LLMs, neural networks, and other AI models
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
- segmentation
- image-processing
- pspnet
- unet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
- pytorch
- unet
- pytorch-unet
- semantic-segmentation
A paper list of object detection using deep learning.
- deep-learning
- deep-neural-networks
- deeplearning
- objectdetection
Cross-platform lib for process and system monitoring in Python
- python
- monitoring
- cpu
- memory
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
- artificial-intelligence
- deep-learning
- text-to-image
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks.This framework enables Claude to generate and manage its own tools, continuously expanding its capabilities through conversation. Available both as a CLI and a modern web interface
🛡️ Open-source and cloud-native Web Application Firewall (WAF)
Minimal and clean examples of machine learning algorithms implementations
- machine-learning
- deep-learning
- neural-networks
- machine-learning-algorithms
The repository host gives no description.
Fast subdomains enumeration tool for penetration testers