GithubHelp home page GithubHelp logo

mlbcp's Projects

cleanlab icon cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels

cobaltstrike icon cobaltstrike

Code and yara rules to detect and analyze Cobalt Strike

deepfacelab icon deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

labeled-elfs icon labeled-elfs

A collection of well labeled ELF binaries compiled from benign and malicious code in various ways. Great for exploring similarity in executables and training various ML models.

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

merlion icon merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

ml-notebooks icon ml-notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

ml-youtube-courses icon ml-youtube-courses

📺 A repository to index and organize the latest machine learning courses found on YouTube.

osas icon osas

One Stop Anomaly Shop: Anomaly detection using two-phase approach: (a) pre-labeling using statistics, Natural Language Processing and static rules; (b) anomaly scoring using supervised and unsupervised machine learning.

pdf2json icon pdf2json

PDF2JSON is a conversion library based on XPDF (3.02) which can be used for high performance PDF page by page conversion to JSON and XML format. It also supports compressing data to minimize size. PDF2JSON is available for Windows, OSX and Linux. Please see https://flowpaper.com for more information

pyrit icon pyrit

The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.

pytorch_notebooks icon pytorch_notebooks

🔥 A collection of PyTorch notebooks for learning and practicing deep learning

skorch icon skorch

A scikit-learn compatible neural network library that wraps PyTorch

stylegan2 icon stylegan2

StyleGAN2 - Official TensorFlow Implementation

stylegan2-pytorch icon stylegan2-pytorch

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

tensorflow-insiderthreat icon tensorflow-insiderthreat

Experimental ONLY: This consolidated data of scenario-2 of the US-CERT dataset for insider threats to be used with TF 2.0 and Keras

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

urltran icon urltran

PyTorch/HuggingFace Implementation of URLTran: Improving Phishing URL Detection Using Transformers

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.