Alternatives

CS291K alternatives for AI agents.

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

Current skill

CS291K

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

46
Quality
69
Trust
311
Stars
#1

Tensorflow

Similarity 151Trust 91Excellent 100

An Open Source Machine Learning Framework for Everyone

196K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add tensorflow/tensorflow
#2

Keras

Similarity 149Trust 92Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#3

Pytorch

Similarity 149Trust 88Excellent 100

Tensors and Dynamic neural networks in Python with strong GPU acceleration

101K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/pytorch
#4

Kornia

Similarity 147Trust 91Excellent 100

🐍 Geometric Computer Vision Library for Spatial AI

11K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add kornia/kornia
#5

Paddle

Similarity 143Trust 93Excellent 100

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

24K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add PaddlePaddle/Paddle
#6

Handson Ml

Similarity 143Trust 91Excellent 100

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

26K starsMay 19, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add ageron/handson-ml
#7

Pytorch Lightning

Similarity 141Trust 93Excellent 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
#8

Server

Similarity 140Trust 93Excellent 100

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
#9

Yolov3

Similarity 139Trust 92Excellent 100

Ultralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite

11K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add ultralytics/yolov3
#10

Darts

Similarity 139Trust 92Excellent 100

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
#11

Pyro

Similarity 139Trust 91Excellent 100

Deep universal probabilistic programming with Python and PyTorch

9.0K starsJun 5, 2026 pushml-automationPythonMachine Learning
$ npx skills add pyro-ppl/pyro
#12

Modelscope

Similarity 139Trust 90Excellent 100

ModelScope: bring the notion of Model-as-a-Service to life.

9.0K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add modelscope/modelscope
#13

Stanza

Similarity 138Trust 89Excellent 100

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
#14

AI For Beginners

Similarity 135Trust 92Excellent 100

12 Weeks, 24 Lessons, AI for All!

48K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/AI-For-Beginners
#15

Fastai

Similarity 135Trust 90Excellent 100

The fastai deep learning library

28K starsMay 20, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add fastai/fastai
#16

Tfjs

Similarity 134Trust 91Excellent 100

A WebGL accelerated JavaScript library for training and deploying ML models.

19K starsJun 15, 2026 pushml-automationTypeScriptMachine Learning
$ npx skills add tensorflow/tfjs

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 CS291K if it already passes your workflow test and repository review.

Next step

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