#1
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
4.2K starsJun 17, 2026 pushrobotics-iotPythonComputer Vision
$ npx skills add open-compass/VLMEvalKitAlternatives
Mish alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Mish
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
96
Quality
89
Trust
1.3K
Stars
#2
AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.
4.3K starsJul 28, 2026 pushrobotics-iotPythonComputer Vision
$ npx skills add wiltodelta/remove-ai-watermarks#3
3D Computer Vision Framework
3.5K starsAug 12, 2026 pushrobotics-iotC++Computer Vision
$ npx skills add alicevision/AliceVision#4
AI IDE for hardware development, support Arduino, MicroPython, ESP32, STM32, RP2040, Nrf5x...
3.8K starsAug 11, 2026 pushrobotics-iotTypeScriptIoT
$ npx skills add ailyProject/aily-blockly#5
A 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.
9.5K starsMay 21, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add roboflow/notebooks#6
Ultralytics YOLO 🚀
58K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/ultralytics#7
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
13K starsJun 14, 2026 pushml-automationPythonMachine Learning
$ npx skills add jacobgil/pytorch-grad-cam#8
12 Weeks, 24 Lessons, AI for All!
48K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/AI-For-Beginners#9
Deep Learning for humans
64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras#10
We write your reusable computer vision tools. 💜
44K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add roboflow/supervision#11
Cross-platform, customizable ML solutions for live and streaming media.
36K starsJun 15, 2026 pushml-automationC++Machine Learning
$ npx skills add google-ai-edge/mediapipe#12
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
67K starsJan 22, 2026 pushml-automationPythonMachine Learning
$ npx skills add labmlai/annotated_deep_learning_paper_implementations#13
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
22K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add huggingface/datasets#14
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
21K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add microsoft/onnxruntime#15
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
19K starsJun 12, 2026 pushml-automationC#Machine Learning
$ npx skills add Unity-Technologies/ml-agents#16
Low-code framework for building custom LLMs, neural networks, and other AI models
12K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add ludwig-ai/ludwigHow to choose
When should you switch?
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 Mish if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.