Torch

3.8
(2)

Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first.

Work for Torch?

Learning about Torch?

We can help you find the solution that fits you best.

Torch Reviews

Chat with a G2 Advisor
Write a Review
Filter Reviews
Filter Reviews
  • Ratings
  • Company Size
  • For Category
  • Industry
Ratings
Company Size
For Category
Industry
Showing 2 Torch reviews
LinkedIn Connections
Torch review by G2 Crowd User
G2 Crowd User
Validated Reviewer
Verified Current User
Review Source
content

"Torch scientific computing framwerok for Luajit Machine Learning"

What do you like best?

the best of Torch is their performance capability that can reach almost 80% of C with JIT, also the LUA can use C libraries directly, other feature amazing is the GPU support. The neural networks are the new way of tracking peoples with simmilar search pattern and the Torch provide all of do you need for do it.

What do you dislike?

An negative point of TORCH is that it need LuaJIT environment when it runs and it's slowing down the go to large-scale production.

Recommendations to others considering the product

the TORCH will should be incorporate an feature that allow to use the LuaJit scripts without the LuaJit environment.

What business problems are you solving with the product? What benefits have you realized?

in our organization TORCH has solved the automatization of some process, through LUAJIT lenguaje and the compatibility with existents script based on C.

Sign in to G2 Crowd to see what your connections have to say about Torch
Torch review by G2 Crowd User in Higher Education
G2 Crowd User in Higher Education
Validated Reviewer
Review Source
content

"It's a good computing framework with lots of powerful features"

What do you like best?

I like the machine learning library and torch library for scientific computing

What do you dislike?

There is nothing specific I can mention here

What business problems are you solving with the product? What benefits have you realized?

I am trying to solve machine learning problems. I have realized that Torch is pretty fast and has all features I need.

What Artificial Neural Network solution do you use?

Thanks for letting us know!

There are not enough reviews of Torch for G2 Crowd to provide buying insight. Below are some alternatives with more reviews:

1
Mocha Logo
Mocha
4.0
(13)
Mocha is a Deep Learning framework for Julia, inspired by the C++ framework Caffe that is efficient implementations of general stochastic gradient solvers and common layers, it could be used to train deep / shallow (convolutional) neural networks, with (optional) unsupervised pre-training via (stacked) auto-encoders.
2
Keras Logo
Keras
4.7
(13)
Keras is a neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
3
AWS Deep Learning AMIs Logo
AWS Deep Learning AMIs
4.2
(11)
The AWS Deep Learning AMIs is designed to equip data scientists, machine learning practitioners, and research scientists with the infrastructure and tools to accelerate work in deep learning, in the cloud, at any scale.
4
TFLearn Logo
TFLearn
4.0
(5)
TFlearn is a modular and transparent deep learning library built on top of Tensorflow that provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while remaining fully transparent and compatible with it.
5
Brainstrom Logo
Brainstrom
4.3
(3)
Brainstorm makes working with neural networks fast, flexible and fun that allows to work on multiple platforms with multiple computing backends.
6
julia-ann Logo
julia-ann
3.3
(3)
julia-ann is the implementation of backpropagation artificial neural networks in Julia that allow users to build multilayer networks and accept DataFrames as inputs. fit! and predict currently require Float64 matrices and vectors.
7
Deep Learning GPU Training System (DIGITS) Logo
Deep Learning GPU Training System (DIGITS)
4.2
(3)
NVIDIA Deep Learning GPU Training System (DIGITS) deep learning for data science and research to quickly design deep neural network (DNN) for image classification and object detection tasks using real-time network behavior visualization.
8
ConvNetJS Logo
ConvNetJS
3.8
(3)
ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in a browser.
9
brain Logo
brain
4.3
(3)
brain is a JavaScript neural network library to recognize color contrast.
10
BrainCore Logo
BrainCore
4.5
(2)
BrainCore is a neural network framework written in Swift that uses Metal which makes it fast.
Show more
Kate from G2 Crowd

Learning about Torch?

I can help.
* We monitor all Torch reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. Validated reviews require the user to submit a screenshot of the product containing their user ID, in order to verify a user is an actual user of the product.