We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
- tabular-data
- gans
- train-dataframe
- adversarial-filtering
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Turkish voice design with VoxCPM2 on a 4 GB GPU: describe a voice, pick a variant, read text in 30 languages. Patched audio.cpp, local UI in 30 languages, 14 ready-made voices.
- cuda
- ggml
- low-vram
- speech-synthesis
The Simplest DCGAN Implementation
- dcgan
- tensorlayer
- gan
- generative-adversarial-network
Python's missing "algorave" module. Live code music with Python using MIDI, OSC and/or SuperCollider.
- algorave
- algorithmic-music
- audio
- improvisation
Simulator for AWS architecture blog (http://www.awsarchitectureblog.com/ ) about jitter and backoff.
Create adversarial attacks against machine learning Windows malware detectors
- adversarial-machine-learning
- infosec
- python
- attack
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
- ros
- ros-kinetic
- ros-packages
- rviz
Command line tool to log all MongoDB queries in a "tail"able way
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses | 500+ Papers | Perception, Cognition, Planning, Interaction, Agentic System
- adversarial-attacks
- ai-safety
- autonomous-driving
- backdoor-attacks
Autonomous desktop intelligence with MCU Ultron persona, mood-aware workspace orchestration, cyber security sentry, and full PC control.
Synthetic Adversarial Log Objects: A Framework for synthentic log generation
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
- adversarial-attacks
- graph-convolutional-networks
- graph-neural-networks
- pytorch
Real-Time Spherical Array Renderer for binaural reproduction in Python
- python
- signal-processing
- binauralaudio
- 3d-audio
Unsupervised Image to Image Translation with Generative Adversarial Networks
Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.
This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.
Claude Code marketplace for multi-agent collaboration — task splitter, output reconciler, adversarial debate, shared memory, acceptance gate. Composes with codex-delegate / gemini-delegate.
🛡️ Static security scanner (SAST) for Ansible playbooks, roles, and collections. 1,000+ rules across 30+ categories detecting malicious code, RCE, hardcoded credentials, and supply-chain risk. Outputs SARIF, CycloneDX SBOM, and GitLab SAST. SLSA Build Level 3, Sigstore-signed.
A Wagtail plugin to add support for glossary terms entity to Draftail
Micropython Driver for the HX711 weighing sensor
Per-repo memory, outcome telemetry, and a calibrated-confidence gate for Claude Code, with MCP and AGENTS.md projections so other AI coding tools can read its context. Notes survive sessions; success claims need test evidence; your reverts are remembered. Local-only, stdlib runtime.
A MicroPython library for the M5 8Encoder.