#1
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
31K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add Lightning-AI/pytorch-lightningAlternatives
Diamond alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Diamond
DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
74
Quality
83
Trust
2.1K
Stars
#2
💫 Industrial-strength Natural Language Processing (NLP) in Python
34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy#3
🤗 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#4
Open standard for machine learning interoperability
21K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add onnx/onnx#5
Machine Learning Systems
25K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add harvard-edge/cs249r_book#6
🐍 Geometric Computer Vision Library for Spatial AI
11K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add kornia/kornia#7
Flower: A Friendly Federated AI Framework
7.0K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add flwrlabs/flower#8
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
7.8K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add stanfordnlp/stanza#9
12 Weeks, 24 Lessons, AI for All!
48K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/AI-For-Beginners#10
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
97K starsJun 2, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add rasbt/LLMs-from-scratch#11
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#12
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
162K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add huggingface/transformers#13
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ray-project/ray#14
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add deepspeedai/DeepSpeed#15
Deep Learning for humans
64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras#16
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
58K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov5How 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 Diamond 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.