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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

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

Python's missing "algorave" module. Live code music with Python using MIDI, OSC and/or SuperCollider.

  • algorave
  • algorithmic-music
  • audio
  • improvisation

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

  • ros
  • ros-kinetic
  • ros-packages
  • rviz

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.

  • aegnts
  • ai
  • jarvis
  • jarvis-ai

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

This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.