sampathrajapaksha Goto Github PK

ai

Repository of various AI models - LSTM, CNN, AutoEncoders, GAN and Reinforcement Learning

anomaly_det

auto-encoder-numpy

Implementation of a standalone encoder-decoder NN using Numpy

awesome-canbus

:articulated_lorry: Awesome CAN bus tools, hardware and resources for Cyber Security Researchers, Reverse Engineers, and Automotive Electronics Enthusiasts.

awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

awesome-rag

RAG-VectorDB-Embedings-LlamaIndex-Langchain

awesome-source-analysis

Source code understanding via Machine Learning techniques

can-adf

CAN-ADF: The controller area network attack detection framework

can-anomaly-detection

Anomaly detection in CANBus traffic with LSTM and Autoencoders. Idea borrowed from publications such as: https://ieeexplore.ieee.org/document/9216166.

can-id-based-model

Context-Aware Intrusion Detection System for In-Vehicle CAN Bus Security

can-mirgu

A Comprehensive CAN Bus Attack Dataset from Moving Vehicles for Intrusion Detection System Evaluation

cantransfer

CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network

clood

Clood CBR: Towards Microservices Oriented Case-Based Reasoning

codexglue

CodeXGLUE

cppcheck-rules

deep_autoencoder_with_elm

Deep Autoencoder with Extreme Learning Machines

ee-outliers

Open-source framework to detect outliers in Elasticsearch events

elm-pure

Pure implementation of ELM (Extreme Learning Machine) in python (just with numpy)

ensemble-ids

Improved Autoencoder-based Ensemble In-vehicle Intrusion Detection System

generative-ai

This repository contains example notebooks and other helpful resources for generative AI workloads running on Dell infrastructure both on prem or in the public cloud. Resources in this repository are for demo purposes only.

gensim

Topic Modelling for Humans

get-things-done-with-prompt-engineering-and-langchain

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

gru-rnn

Minimal numpy implementation of a RNN using GRUs

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

iot-security

langchain

🦜🔗 Build context-aware reasoning applications

langgraph

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

lstm-autoencoder-for-anomaly-detection

AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow

lstms