Helps teams build, deploy, observe or operate machine-learning systems.
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Notes on what I'm thinking about, learning, and working on.
Discover open source deep learning code and pretrained models.
A flexible and efficient library for deep learning.
Free Course and Certification for building an end-to-end machine using W&B.
Understand how large language models work under the hood.
This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING].
Making neural nets uncool again, focused on making deep learning more accessible.
Step by step guide to learning Prompt Engineering in 2026.
Browser tool for learning languages with subtitles, translations, and video-based practice.
Learning Coach provides AI-assisted learning, courses, tutorials, or study support.
Supports teaching, studying or skills practice with AI-guided learning tools.
OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
Browser-based visual editor for designing neural networks and automatically generating PyTorch and TensorFlow code.
Get HD headshots tailored for Black skin tones and features. Ideal for social profiles, resumes, and portfolios.
Track real-time GPU and LLM pricing across all cloud and inference providers.
. Practical AI engineering and generative AI explained simply: RAG, agents, and LLM application patterns for builders.
DLib has C++ and Python interfaces for face detection and training general object detectors.
Host inference APIs, bulk inference and fine tune text, vision, audio and multi-modal models.
ChatGPT extension for Google Sheets and Google Docs.
800+ ChatGPT and GPT-3 Examples, Demos, Apps, Showcase, and Generative AI Use-cases.
Join the discussion on this paper page.
Risks and mitigations for developing and deploying generative AI applications.
Explore leaderboards with expert-driven LLM benchmarks and updated AI model rankings across coding, reasoning and more.