The K8s-orchestrated vision-pipeline variant

Providing the answer to "How to do patching on all available SAEs on GPT-2?". It is an official repository of the implementation of the paper "Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small"

A full-featured open-source Wi-Fi fuzzer

Multi-Layer Sparse Autoencoders

Merges multiple streams of (geo-referenced) `SaeMessage` events into a single output stream.

Maps object locations in `SaeMessages` to geo coordinates

Python script to manage different components of the reporting of Serious Adverse Events (SAEs) in the ICARIA Clinical Trial. These components are: (1) SAE numbering, etc.

A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.

autonomous drone flight and payload drop on target

We use stacked Autoencoders to build a powerfull recommender system for movies.

Using this repository the complete behavior cloning will be cake walk

python2.7 微信后台开发，新浪SAE服务器

Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol

🚢 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

A simple tornado blog on SinaAppEngine with a KV database