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aix360

Interpretability and explainability of data and machine learning models

amoonworker.github.io

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

cloudgoat

CloudGoat is Rhino Security Labs' "Vulnerable by Design" AWS deployment tool

iam-vulnerable

Use Terraform to create your own vulnerable by design AWS IAM privilege escalation playground.

imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

llama.cpp

Port of Facebook's LLaMA model in C/C++

sadcloud

A tool for standing up (and tearing down!) purposefully insecure cloud infrastructure

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

terragoat

TerraGoat is Bridgecrew's "Vulnerable by Design" Terraform repository. TerraGoat is a learning and training project that demonstrates how common configuration errors can find their way into production cloud environments.

the-algorithm

Source code for Twitter's Recommendation Algorithm

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

unigen

UniGen approximately uniform sampler

uwrmaxsat

UWrMaxSat is a relatively new MiniSat+-based solver participating in MaxSAT Evaluation 2019, where it ranked second places in both main tracks (weighted and unweighted). In MaxSAT Evaluation 2020 it won the weighted main track. It has been created recently at the University of Wrocław. It is a complete solver for partial weighted MaxSAT instances