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  1. Stackups
  2. AI
  3. Development & Training Tools
  4. Machine Learning Tools
  5. Hummingbird vs Theano

Hummingbird vs Theano

OverviewComparisonAlternatives

Overview

Theano
Theano
Stacks32
Followers65
Votes0
GitHub Stars10.0K
Forks2.5K
Hummingbird
Hummingbird
Stacks4
Followers8
Votes0
GitHub Stars3.5K
Forks286

Theano vs Hummingbird: What are the differences?

Developers describe Theano as "Define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently". Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray). Using Theano it is possible to attain speeds rivaling hand-crafted C impleme. On the other hand, Hummingbird is detailed as "Compile trained ML models into tensor computation (By Microsoft)". It is a library for compiling trained traditional ML models into tensor computations. It allows users to seamlessly leverage neural network frameworks (such as PyTorch) to accelerate traditional ML models.

Theano and Hummingbird can be categorized as "Machine Learning" tools.

Theano is an open source tool with 9.16K GitHub stars and 2.52K GitHub forks. Here's a link to Theano's open source repository on GitHub.

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Detailed Comparison

Theano
Theano
Hummingbird
Hummingbird

Theano is a Python library that lets you to define, optimize, and evaluate mathematical expressions, especially ones with multi-dimensional arrays (numpy.ndarray).

It is a library for compiling trained traditional ML models into tensor computations. It allows users to seamlessly leverage neural network frameworks (such as PyTorch) to accelerate traditional ML models.

-
Current and future optimizations implemented in neural network frameworks; Native hardware acceleration; Convert your trained traditional ML models into PyTorch
Statistics
GitHub Stars
10.0K
GitHub Stars
3.5K
GitHub Forks
2.5K
GitHub Forks
286
Stacks
32
Stacks
4
Followers
65
Followers
8
Votes
0
Votes
0
Integrations
NumPy
NumPy
Python
Python
Linux
Linux
XGBoost
XGBoost
PyTorch
PyTorch
macOS
macOS
Windows
Windows
scikit-learn
scikit-learn

What are some alternatives to Theano, Hummingbird?

TensorFlow

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

scikit-learn

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

PyTorch

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

Keras

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

Kubeflow

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

TensorFlow.js

TensorFlow.js

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

Polyaxon

Polyaxon

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

Streamlit

Streamlit

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

MLflow

MLflow

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

H2O

H2O

H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.

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