This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. π₯ Also check: https://hackertraining.org
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
π Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Create delightful software with Jupyter Notebooks
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.
This repository is maintained by Hex Core and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. π₯ Also check: https://hackertraining.org
MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
Multi-agent systems, memory, planning, reasoning loops
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
DL course co-developed by YSDA, HSE and Skoltech
Python supercharged for the fastai library
Simple and flexible progress bar for Jupyter Notebook and console
A collection of Jupyter notebooks developed by the community showing how to use Qiskit
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Taller prΓ‘ctico de Google Agent Development Kit (ADK) con Gemini, MCP y multi-agentes