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TensorFlow

Appears in 23 awesome lists

How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

Open github.comtensorflow/tensorflow

Found in these lists

Awesome Bazel

Section: Projects · Computation using data flow graphs for scalable machine learning.

StaleScore 52

Awesome Big Data

Section: Machine Learning · Library from Google for machine learning using data flow graphs.

ActiveScore 84

Awesome C Cpp Projects

Section: C/C++ 源码学习

SlowScore 57

Awesome Cloud Native

Section: AI & Machine Learning Platforms · Computation using data flow graphs for scalable machine learning.

FreshScore 87

Awesome C++

Section: Artificial Intelligence · An open source software library for numerical computation using data flow graphs. [Apache]

FreshScore 94

Awesome Data Analysis

Section: Tools · End-to-end open source platform for machine learning and deep learning.

FreshScore 80

AWESOME DATA SCIENCE

Section: Deep Learning Packages

FreshScore 92

Awesome Deep Learning

Section: Frameworks

SlowScore 59

Awesome Deep Learning Resources

Section: Librairies and Implementations · Most known deep learning framework, both high-level and low-level while staying flexible.

StaleScore 52

Awesome First Pull Request Opportunities

Section: C++ · (label: stat:contributions-welcome) Computation using data flow graphs for scalable machine learning

ActiveScore 83

Awesome LLMOps

Section: Frameworks for Training · An Open Source Machine Learning Framework for Everyone.

ActiveScore 75

Awesome Machine Learning

Section: Python · Open source software library for numerical computation using data flow graphs.

FreshScore 93

Awesome Open Source AI

Section: 1. Core Frameworks & Libraries · End-to-end platform with excellent production deployment, TPU support, and large-scale serving tools.

FreshScore 89

Awesome Production Machine Learning

Section: Computation and Communication Optimisation · TensorFlow is a leading library designed for developing and deploying state-of-the-art machine learning applications.

FreshScore 92

Awesome Python Data Science

Section: TensorFlow · Computation using data flow graphs for scalable machine learning by Google.

ActiveScore 71

Libraries and packages

Section: Data Science · Fundamental algorithms for scientific computing in Python

FreshScore 86

Awesome-TensorFlow-Chinese

Section: 库 · Simplified interface for Deep/Machine Learning (now part of TensorFlow)

ActiveScore 77

Awesome TensorFlow Lite

Section: Past announcements: · How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

StaleScore 50

Machine Learning for iOS

Section: On-Device training and inference

StaleScore 45

awesome-cpp

Section: Other · An Open Source Machine Learning Framework for Everyone

FreshScore 79

Awesome Python

Section: Deep Learning · The most popular Deep Learning framework created by Google.

FreshScore 94

Awesome Ios

Section: Machine Learning · The official Google-built powerful neural network library port for iOS.

FreshScore 90

Awesome Systematic Trading

Section: Fundamental libraries · | Python, C++ | - More low level Deep Learning framework

FreshScore 89

scikit-learn

Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building.

In 10 listsDetails

ML Workspace

All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code).

In 10 listsDetails

Aim

Self-hosted ML experiment tracker designed to handle 10,000s of training runs with performant UI and SDK for programmatic access. Apache 2.0 licensed.

In 7 listsDetails

Karate Club

Unsupervised learning on graphs. PyTorch Geometric - Graph representation learning with PyTorch. DLG - Graph representation learning with TensorFlow.

In 7 listsDetails

H2O

Fast scalable Machine Learning platform for smarter applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc..

In 6 listsDetails

Brain

Simple feed-forward neural network in JavaScript (archived)

In 6 listsDetails

Neptune

Community-friendly platform supporting data scientists in creating and sharing machine learning models. Neptune facilitates teamwork, infrastructure management, models comparison and reproducibility.

In 6 listsDetails

abseil-cpp

OSS collection of C++ code (compliant to C++11) designed to augment the C++ standard library.

In 5 listsDetails