A collection of scientific methods, processes, algorithms, and systems to build stories & models.
$ npx skills add hemansnation/AI-Engineer-HeadquartersAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
$ npx skills add hemansnation/AI-Engineer-HeadquartersOpen Machine Learning course
$ npx skills add girafe-ai/ml-course📚 Jupyter notebook tutorials for OpenVINO™
$ npx skills add openvinotoolkit/openvino_notebooksktrain is a Python library that makes deep learning and AI more accessible and easier to apply
$ npx skills add amaiya/ktrainOfficial 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/tapnetAutomatically find issues in image datasets and practice data-centric computer vision.
$ npx skills add cleanlab/cleanvisionMachine Learning University: Accelerated Computer Vision Class
$ npx skills add aws-samples/aws-machine-learning-university-accelerated-cvcomputer 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📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
$ npx skills add eugeneyan/ml-surveys🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
$ npx skills add huggingface/knockknockTorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
$ npx skills add torchgeo/torchgeoML-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/scenicHow 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 D2l 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.