12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-BeginnersAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-Beginners🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
$ npx skills add huggingface/datasetsImplement a ChatGPT-like LLM in PyTorch from scratch, step by step
$ npx skills add rasbt/LLMs-from-scratchA collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
$ npx skills add roboflow/notebooksPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningWe write your reusable computer vision tools. 💜
$ npx skills add roboflow/supervisionCross-platform, customizable ML solutions for live and streaming media.
$ npx skills add google-ai-edge/mediapipe💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronUltralytics YOLO 🚀
$ npx skills add ultralytics/ultralyticsOpen standard for machine learning interoperability
$ npx skills add onnx/onnxYC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure
$ npx skills add screenpipe/screenpipeA toolkit for making real world machine learning and data analysis applications in C++
$ npx skills add davisking/dlibAdvanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
$ npx skills add jacobgil/pytorch-grad-camThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandbLow-code framework for building custom LLMs, neural networks, and other AI models
$ npx skills add ludwig-ai/ludwigHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Objectron if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.
Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-Beginners🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
$ npx skills add huggingface/datasetsImplement a ChatGPT-like LLM in PyTorch from scratch, step by step
$ npx skills add rasbt/LLMs-from-scratchA collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
$ npx skills add roboflow/notebooksPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningWe write your reusable computer vision tools. 💜
$ npx skills add roboflow/supervisionCross-platform, customizable ML solutions for live and streaming media.
$ npx skills add google-ai-edge/mediapipe💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronUltralytics YOLO 🚀
$ npx skills add ultralytics/ultralyticsOpen standard for machine learning interoperability
$ npx skills add onnx/onnxYC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure
$ npx skills add screenpipe/screenpipeA toolkit for making real world machine learning and data analysis applications in C++
$ npx skills add davisking/dlibAdvanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
$ npx skills add jacobgil/pytorch-grad-camThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandbLow-code framework for building custom LLMs, neural networks, and other AI models
$ npx skills add ludwig-ai/ludwigHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Objectron if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.