Statistics for topic tensorflow
RepositoryStats tracks 605,968 Github repositories, of these 2,272 are tagged with the tensorflow topic. The most common primary language for repositories using this topic is Python (1,270). Other languages include: Jupyter Notebook (501), C++ (98), JavaScript (74), Java (33), TypeScript (30), Go (25), HTML (18), C (15), Shell (14)
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🤗 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
An Open Source Machine Learning Framework for Everyone
The free and privacy-friendly screen recorder with no limits 🎥
【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。
Deep learning-based image captioning with Flickr8k dataset. Code includes data prep, model training, and a Streamlit app.
Transformer for Portfolio Optimization. Applicable to Mid/Low Frequency Trading
[WINNER! 🏆] Psychopathology FER Assistant. Because mental health matters. My project submission for #TFWorld TF 2.0 Challenge at Devpost.
This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compare...
🤗 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.
The free and privacy-friendly screen recorder with no limits 🎥
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Transformer for Portfolio Optimization. Applicable to Mid/Low Frequency Trading
【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。
The Tennis Serve Analysis App is a mobile application designed to revolutionize the way tennis players analyze and improve their serves. Leveraging machine learning algorithms and computer vision tech...
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
(WIP) A small but powerful, homemade PyTorch from scratch.
An Open Source Machine Learning Framework for Everyone
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Contains Solutions to Deep Learning Specailization - Coursera
Deep learning-based image captioning with Flickr8k dataset. Code includes data prep, model training, and a Streamlit app.
Fully-Featured Automated License Plate Recognition Database for Blue Iris + CodeProject AI Server
Hands-on MLOps projects to explore and learn the practical aspects of machine learning engineering for production.
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / LLaMA Factory / Ultralytics / MMEngine...
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
🤗 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"
【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,...