Alternatives

Keras Rl alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

Keras Rl

Deep Reinforcement Learning for Keras.

78
Quality
81
Trust
5.6K
Stars
#1

Keras

Similarity 149Trust 88Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#2

Pytorch Lightning

Similarity 141Trust 90Excellent 100

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-lightning
#3

Face Recognition

Similarity 140Trust 85Excellent 100

The world's simplest facial recognition api for Python and the command line

57K starsJun 25, 2026 pushml-automationPythonMachine Learning
$ npx skills add ageitgey/face_recognition
#4

Vision

Similarity 140Trust 88Excellent 100

Datasets, Transforms and Models specific to Computer Vision

18K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/vision
#5

Stable Baselines3

Similarity 140Trust 90Excellent 100

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
#6

Nltk

Similarity 139Trust 88Excellent 100

NLTK Source

15K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add nltk/nltk
#7

Optuna

Similarity 139Trust 88Excellent 100

A hyperparameter optimization framework

14K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add optuna/optuna
#8

Darts

Similarity 139Trust 89Excellent 99

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
#9

Bitsandbytes

Similarity 138Trust 87Excellent 99

Accessible large language models via k-bit quantization for PyTorch.

8.3K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add bitsandbytes-foundation/bitsandbytes
#10

Umap

Similarity 138Trust 87Excellent 99

Uniform Manifold Approximation and Projection

8.2K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add lmcinnes/umap
#11

Librephotos

Similarity 138Trust 87Excellent 99

A self-hosted open source photo management service.

8.0K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add LibrePhotos/librephotos
#12

Tensorflow

Similarity 135Trust 87Excellent 100

An Open Source Machine Learning Framework for Everyone

196K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/tensorflow
#13

Ml Agents

Similarity 133Trust 87Excellent 99

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
#14

Nndl

Similarity 133Trust 85Excellent 99

邱锡鹏《神经网络与深度学习》(蒲公英书)理论书 v2 与通识版

19K starsJun 1, 2026 pushml-automationMachine Learning
$ npx skills add nndl/nndl
#15

Annotated Deep Learning Paper Implementations

Similarity 133Trust 87Excellent 100

🧑‍🏫 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
#16

Pytorch

Similarity 132Trust 84Excellent 100

Tensors and Dynamic neural networks in Python with strong GPU acceleration

101K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/pytorch

How 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 Rl 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.