A high performance offensive security tool for reconnaissance and vulnerability scanning
- reconnaissance
- scanner
- vulnerability-assessment
- vulnerability-scanner
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A high performance offensive security tool for reconnaissance and vulnerability scanning
A series of large language models developed by Baichuan Intelligent Technology
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Learning to Learn in TensorFlow
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
⚡️ Libraries for building performant and instant search and and discovery experiences with Algolia. Compatible with JavaScript, TypeScript, React and Vue.
我的一些面试心得;自学CS历程分享;找工作求职经验分享
PostgreSQL extension for BM25 relevance-ranked full-text search. Postgres OSS licensed.
The ops and reference implementation for Apache Dubbo.
High performance, simple, extensible golang open source network library
Supercharge your Laravel application's performance.
Unleashing the real power of Core Data with the elegance and safety of Swift
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
The Doctrine Persistence project is a library that provides common abstractions for object mapper persistence.
NVIDIA's CUDA platform for Rust. Host runtime crates plus Tile (cutile-rs) and SIMT (cuda-oxide) kernel programming models in idiomatic Rust.
Superfast AI decision making and intelligent processing of multi-modal data.
A sleek, privacy-focused browser extension that brings a native dark mode experience to online documents. Built with clean UI/UX principles for Chromium and Opera browsers to reduce eye strain and improve readability.
Vector (and Scalar) Quantization, in Pytorch
Sourcebot is a self-hosted tool that helps humans and agents understand your codebase.
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
A simplified implemention of Faster R-CNN that replicate performance from origin paper
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.