Statistics for topic tensorflow
RepositoryStats tracks 566,958 Github repositories, of these 2,213 are tagged with the tensorflow topic. The most common primary language for repositories using this topic is Python (1,246). Other languages include: Jupyter Notebook (477), C++ (98), JavaScript (72), Java (33), TypeScript (30), Go (24), HTML (17), C (15), Shell (14)
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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
TensorFlow.Delphi (TF.Delphi) provides a Delphi(Pascal) Standard binding for TensorFlow. It aims to implement the complete Tensorflow API in Delphi which allows Pascal developers to develop, train and...
A set of Docker images that include popular frameworks for machine learning, data science and visualization.
Machine learning model for predicting Serie A players performance in a match, in terms of Fantacalcio (italian fantasy football) scores.
Creating digital art using Neural Network based Style Transfer.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
TensorFlow.Delphi (TF.Delphi) provides a Delphi(Pascal) Standard binding for TensorFlow. It aims to implement the complete Tensorflow API in Delphi which allows Pascal developers to develop, train and...
Creating digital art using Neural Network based Style Transfer.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
An Open Source Machine Learning Framework for Everyone
TensorHue is a Python library that allows you to visualize tensors right in your console, making understanding and debugging tensor contents easier.
⚡️SwanLab: your ML experiment notebook. 你的AI实验笔记本，跟踪与可视化你的机器学习全流程
Implementation of the ScreenAI model from the paper: "A Vision-Language Model for UI and Infographics Understanding"
Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
An Open Source Machine Learning Framework for Everyone
Tools for easing the handoff between AI/ML and App/SRE teams.
Implementation of the ScreenAI model from the paper: "A Vision-Language Model for UI and Infographics Understanding"
【深度学习模型部署框架】支持tf/torch/trt/trtllm/vllm以及更多nn框架，支持dynamic batching、streaming模式，支持python/c++双语言，可限制，可拓展，高性能。帮助用户快速地将模型部署到线上，并通过http/rpc接口方式提供服务。
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence