ModelScope: bring the notion of Model-as-a-Service to life.
$ npx skills add modelscope/modelscopeAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
ModelScope: bring the notion of Model-as-a-Service to life.
$ npx skills add modelscope/modelscopeThe 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.
$ npx skills add Unity-Technologies/ml-agentsML.NET is an open source and cross-platform machine learning framework for .NET.
$ npx skills add dotnet/machinelearningStanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
$ npx skills add stanfordnlp/stanza๐ค 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.
$ npx skills add huggingface/transformersRay is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
$ npx skills add ray-project/rayDeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
$ npx skills add deepspeedai/DeepSpeedPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
$ npx skills add openai/CLIPDeep Learning for humans
$ npx skills add keras-team/kerasUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5Deepfakes Software For All
$ npx skills add deepfakes/faceswap12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-BeginnersWe write your reusable computer vision tools. ๐
$ npx skills add roboflow/supervisionCross-platform, customizable ML solutions for live and streaming media.
$ npx skills add google-ai-edge/mediapipeAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowHow to choose
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 RNNSharp if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.
Alternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
ModelScope: bring the notion of Model-as-a-Service to life.
$ npx skills add modelscope/modelscopeThe 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.
$ npx skills add Unity-Technologies/ml-agentsML.NET is an open source and cross-platform machine learning framework for .NET.
$ npx skills add dotnet/machinelearningStanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
$ npx skills add stanfordnlp/stanza๐ค 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.
$ npx skills add huggingface/transformersRay is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
$ npx skills add ray-project/rayDeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
$ npx skills add deepspeedai/DeepSpeedPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
$ npx skills add openai/CLIPDeep Learning for humans
$ npx skills add keras-team/kerasUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5Deepfakes Software For All
$ npx skills add deepfakes/faceswap12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-BeginnersWe write your reusable computer vision tools. ๐
$ npx skills add roboflow/supervisionCross-platform, customizable ML solutions for live and streaming media.
$ npx skills add google-ai-edge/mediapipeAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowHow to choose
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 RNNSharp if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.