Pinned Repositories
AttackDetection
Attack Detection
Automation
Automating security tools
deeplearning-models
A collection of various deep learning architectures, models, and tips
GPT_Vuln-analyzer
Uses ChatGPT API, Python-Nmap, DNS Recon modules and uses the GPT3 model to create vulnerability reports based on Nmap scan data, and DNS scan information. It can also perform subdomain enumeration to a great extent
HELK
The Hunting ELK
Kitsune-py
A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)
Maldataset-2021
Maldataset2021 is a malware dataset that consists of 28 classes of malware, in which each class represents a malware family, and each sample gives a RGB 224x224 PNG file. The PNG files are transformed from the original binary malware files. The motivation of image transformation is to identify malware on the raw bytes of entire executable files (i.e., image), so that deep learning technologies such as CNN can be applied to malware classification, since CNN model has been demonstrated with its outstanding capability on image classification. In this view, we provide here a new dataset that contains the latest malware samples. The entire PNG files are split as, 70% for training and the remaining 30% for testing.
mlsec
Short PhD seminar on Machine Learning Security (Adversarial Machine Learning)
net_intrusion_detection
Network intrusion detection with Machine Learning (Deep Learning) experiment
PROJECT2
web-applicaion
phoenixml's Repositories
phoenixml/Maldataset-2021
Maldataset2021 is a malware dataset that consists of 28 classes of malware, in which each class represents a malware family, and each sample gives a RGB 224x224 PNG file. The PNG files are transformed from the original binary malware files. The motivation of image transformation is to identify malware on the raw bytes of entire executable files (i.e., image), so that deep learning technologies such as CNN can be applied to malware classification, since CNN model has been demonstrated with its outstanding capability on image classification. In this view, we provide here a new dataset that contains the latest malware samples. The entire PNG files are split as, 70% for training and the remaining 30% for testing.
phoenixml/AdalFlow
AdalFlow: The “PyTorch” library to auto-optimize any LLM tasks.
phoenixml/Adversarial_Examples_Papers
A list of recent papers about adversarial learning
phoenixml/AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
phoenixml/AutoPoison
The official repository of the paper "On the Exploitability of Instruction Tuning".
phoenixml/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
phoenixml/blogs
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
phoenixml/buster
phoenixml/cookbook
phoenixml/datasets-Creation
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
phoenixml/deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
phoenixml/GML2023
Graph Machine Learning course, Xavier Bresson, 2023
phoenixml/Large-Language-Model-Notebooks-Course
Practical course about Large Language Models.
phoenixml/llama
phoenixml/llama-recipes
Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger
phoenixml/llm-attacks
Universal and Transferable Attacks on Aligned Language Models
phoenixml/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
phoenixml/llm-sagemaker-sample
phoenixml/LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
phoenixml/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
phoenixml/MathForDeepLearning
Source code for the book "Math for Deep Learning" (No Starch Press)
phoenixml/microagents
Agents Capable of Self-Editing Their Prompts / Python Code
phoenixml/nebula
AI-Powered Ethical Hacking Assistant
phoenixml/ollama
Get up and running with Llama 2 and other large language models locally
phoenixml/Ollama-Colab-Integration
Jupyter Notebooks for Ollama integration
phoenixml/Red_Reaper_v2
Stage 1: Sensitive Email/Chat Classification for Adversary Agent Emulation (espionage). This project is meant to extend Red Reaper v1 which was presented at RSA San Francisco 2024.
phoenixml/Talks
phoenixml/text-generation-webui
A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
phoenixml/Training-Small-Language-Model
Training Small Language Model
phoenixml/unsloth
Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory