Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
Open-Source AI Camera Skills Platform, AI NVR & CCTV Surveillance. Local VLM video analysis with Qwen, DeepSeek, SmolVLM, LLaVA, YOLO26. LLM-powered agentic security camera agent — watches, understands, remembers & guards your home via Telegram, Discord or Slack. Pluggable AI skills. OpenAI, Google, Anthropic or local AI. Runs on Mac Mini & AI PC.
$ npx skills add SharpAI/DeepCameraOpen Machine Learning course
$ npx skills add girafe-ai/ml-course📚 Jupyter notebook tutorials for OpenVINO™
$ npx skills add openvinotoolkit/openvino_notebooksOfficial Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
$ npx skills add digantamisra98/MishTracking Any Point (TAP)
$ npx skills add google-deepmind/tapnetcomputer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）
$ npx skills add enpeizhao/CVprojectsObjectron 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
$ npx skills add google-research-datasets/Objectron🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
$ npx skills add ZhaoJ9014/face.evoLVeA collection of scientific methods, processes, algorithms, and systems to build stories & models.
$ npx skills add hemansnation/AI-Engineer-HeadquartersThis project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
$ npx skills add dsgiitr/d2l-pytorchTorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
$ npx skills add torchgeo/torchgeoReplication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
$ npx skills add pprp/SimpleCVReproductionML-powered manga translator, written in Rust.
$ npx skills add mayocream/koharuBecome a cracked AI/ML Research Engineer
$ npx skills add HenryNdubuaku/maths-cs-ai-compendiumScenic: A Jax Library for Computer Vision Research and Beyond
$ npx skills add google-research/scenicA python library for self-supervised learning on images.
$ npx skills add lightly-ai/lightlyHow 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 Getting Things Done With Pytorch 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.