nsxfreddy

nsxfreddy's Stars

• Stability-AI/stablediffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Python39.3k4473135.1k

• daviddao/awful-ai

  😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

  7k30329233

• google/differential-privacy

  Google's differential privacy libraries.

  Language:Go3.1k11676353

• google/rappor

  RAPPOR: Privacy-Preserving Reporting Algorithms

  Language:R8626239164

• whylabs/langkit

  🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀

  Language:Jupyter Notebook858155768

• gramineproject/graphene

  Graphene / Graphene-SGX - a library OS for Linux multi-process applications, with Intel SGX support

  Language:C77151841260

• securefederatedai/openfl

  An Open Framework for Federated Learning.

  Language:Jupyter Notebook73522263207

• xLightsSequencer/xLights

  xLights is a sequencer for Lights. xLights has usb and E1.31 drivers. You can create sequences in this object oriented program. You can create playlists, schedule them, test your hardware, convert between different sequencers.

  Language:C++570564.3k212

• FalconChristmas/fpp

  Falcon Player

  Language:C++569931.7k202

• twosixlabs/armory

  ARMORY Adversarial Robustness Evaluation Test Bed

  Language:Python1761879267

• ftramer/slalom

  Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware

  Language:C++16193640

• shangtse/robust-physical-attack

  Physical adversarial attack for fooling the Faster R-CNN object detector

  Language:Jupyter Notebook15671249

• jeffpiazza/derbynet

  Open-source Pinewood Derby race management, built around a web server and database

  Language:PHP1011928370

• IntelLabs/OSCAR

  Object Sensing and Cognition for Adversarial Robustness

  Language:Jupyter Notebook201501

• IntelLabs/MART

  Modular Adversarial Robustness Toolkit

  Language:Python174350