Statistics for topic tensorflow
RepositoryStats tracks 595,858 Github repositories, of these 2,255 are tagged with the tensorflow topic. The most common primary language for repositories using this topic is Python (1,265). Other languages include: Jupyter Notebook (494), C++ (97), JavaScript (73), Java (33), TypeScript (30), Go (25), HTML (17), C (15), Shell (14)
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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Contains Solutions to Deep Learning Specailization - Coursera
🎹 Moodify - an emotion-based music recommendation system that uses AI/ML models to analyze text, speech, and facial expressions, providing personalized music recommendations across web and mobile pla...
[NeurIPS 2024] Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
This repository contains Dockerfiles, scripts, yaml files, Helm charts, etc. used to scale out AI containers with versions of TensorFlow and PyTorch that have been optimized for Intel platforms. Scali...
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Visualizer for neural network, deep learning and machine learning models
Contains Solutions to Deep Learning Specailization - Coursera
Contains Solutions to Deep Learning Specailization - Coursera
[NeurIPS 2024] Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
🎹 Moodify - an emotion-based music recommendation system that uses AI/ML models to analyze text, speech, and facial expressions, providing personalized music recommendations across web and mobile pla...
This repository contains Dockerfiles, scripts, yaml files, Helm charts, etc. used to scale out AI containers with versions of TensorFlow and PyTorch that have been optimized for Intel platforms. Scali...
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Visualizer for neural network, deep learning and machine learning models
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
An Open Source Machine Learning Framework for Everyone
[NeurIPS 2024] Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
Contains Solutions to Deep Learning Specailization - Coursera
Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare ...
Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.
An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.
Implementation of the ScreenAI model from the paper: "A Vision-Language Model for UI and Infographics Understanding"
[NeurIPS 2024] Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
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
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.
Implementation of the ScreenAI model from the paper: "A Vision-Language Model for UI and Infographics Understanding"
⚡️SwanLab: your ML experiment notebook. 你的AI实验笔记本,日志记录与可视化AI训练全流程。
【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。