Popular GitHub Repositories for Watson Discovery

? Papers & tech blogs by companies sharing their work on data science & machine learning in production.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Official PyTorch implementation of PTS/PSRN: Fast and efficient symbolic expression discovery through parallelized tree search. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..

文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法

Zero shot vulnerability discovery using LLMs

Message Passing Neural Networks for Molecule Property Prediction

A package for the sparse identification of nonlinear dynamical systems from data

A powerful and flexible machine learning platform for drug discovery

[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

Self-hosted open-source web gallery to view your photos and videos featuring mobile-friendly, tagging and AI powered image discovery

The fast and secure Load Balancer / API Gateway / Reverse Proxy with built-in service discovery, GeoIP, WAF, bot protection and much more - https://pingoo.io

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Python package for graph neural networks in chemistry and biology

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

A Python library powered by Language Models (LLMs) for conversational data discovery and analysis.