#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
Keras alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Keras
Deep Learning for humans
100
Quality
90
Trust
64K
Stars
#2
A python library for user-friendly forecasting and anomaly detection on time series.
9.4K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add unit8co/darts#3
Deep universal probabilistic programming with Python and PyTorch
9.0K starsJun 5, 2026 pushml-automationPythonMachine Learning
$ npx skills add pyro-ppl/pyro#4
An Open Source Machine Learning Framework for Everyone
196K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/tensorflow#5
The fastai deep learning library
28K starsMay 20, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add fastai/fastai#6
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
21K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add microsoft/onnxruntime#7
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#8
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
58K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov5#9
🧑🏫 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#10
💫 Industrial-strength Natural Language Processing (NLP) in Python
34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy#11
Tensors and Dynamic neural networks in Python with strong GPU acceleration
101K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/pytorch#12
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
13K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add DLR-RM/stable-baselines3#13
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/ludwig#14
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
11K starsJul 23, 2026 pushml-automationPythonMachine Learning
$ npx skills add wandb/wandb#15
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
11K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add triton-inference-server/server#16
Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
11K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov3How 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 Keras 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.