--- title: Torch Reviews meta_title: 'Torch Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 15 reviews by the users' company size, role or industry to find out how Torch works for a business like yours. aggregate_rating: rating_value: 4.4 review_count: 15 scale: '5' date_modified: '2026-05-05' parent_category: name: Deep Learning url: https://www.g2.com/categories/deep-learning --- # Torch Reviews **Vendor:** Torch Leadership Labs **Category:** [Artificial Neural Network Software](https://www.g2.com/categories/artificial-neural-network) **Average Rating:** 4.4/5.0 **Total Reviews:** 15 ## About Torch Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. ## Torch Reviews ### 1. It is helpful for my requirement. **Rating:** 4.5/5.0 stars **Reviewed by:** Shivam T. | Senior Salesforce Developer, Enterprise (> 1000 emp.) **Reviewed Date:** September 13, 2022 **What do you like best about Torch?** It helps to increase the productivity of my business. **What do you dislike about Torch?** Nothing as on now. Still exploring the tool. **What problems is Torch solving and how is that benefiting you?** Torch allows me to search over the Internet in addition to other multiple tasks such as displaying websites, sharing websites through social networks, downloading torrents, accelerating downloads and recording multimedia files, all directly from the browser ### 2. Torch tool easy to use fast, automatic and parallel. **Rating:** 4.5/5.0 stars **Reviewed by:** Pedro M. | Ejecutivo y analista de cobranzas, Enterprise (> 1000 emp.) **Reviewed Date:** August 25, 2019 **What do you like best about Torch?** Torch, has many packages in machine learning, signal processing, audio, video and parallel processing. It also has neural networks and deep learning algorithms. Basically. It allows people to conduct research at a rapid pace, develop ideas more quickly without being bogged down by the details of implementation. At the same time, it allows us to deepen and understand the fundamentals, making the learning cycle faster and more effective. **What do you dislike about Torch?** A negative point of TORCH is that it needs the LuaJIT environment when it is running and is slowing the road to large-scale production. Otherwise, this product is as good as the tensorflow. If someone is willing to learn a new language, this product is highly recommended. **Recommendations to others considering Torch:** Basically, Torch comes with the integration of the LuaJIT programming language with the underlying implementation of C. It has better computational features where managing dependencies is easier than python. The most important reason why I like this framework is that it does not have compile time, which means that its code is interpreted and debugging is much easier. **What problems is Torch solving and how is that benefiting you?** Torch helped me accelerate the result of the investigation, I was able to develop neural networks faster and better understand their internal functioning. I use Torch to develop solutions to the problem of classifying complete slide images of idiopathic inflammatory myopathies. Using Torch has allowed me to test solutions quickly.Torch allows you to browse the Internet in addition to other multiple tasks such as displaying websites, sharing websites through social networks, downloading torrents, accelerating downloads and recording multimedia files, all directly from the browser. ### 3. Pytorch for Deep Learning **Rating:** 5.0/5.0 stars **Reviewed by:** Stanley D. | Data Engineer, Computer Hardware, Small-Business (50 or fewer emp.) **Reviewed Date:** July 09, 2019 **What do you like best about Torch?** 1. When images belonging to a class are placed inside a folder bearing the class name, Pytorch's data loader automatically uses the folder name as the class label and maps all images inside the folder to the class. 2. Pytorch offer a lot of pre-trained networks for transfer learning. 3. Pytorch's developer community keeps getting larger, as popular deep learning courses and tutorials now use it. **What do you dislike about Torch?** After loading images to PyTorch's dataloader, it is very hard to integrate it with other libraries like scikit-learn. This has prevented me from performing some machine learning techniques like ensembling, cross-validation, stacking and so on. **What problems is Torch solving and how is that benefiting you?** I am currently using Pytorch to build a sentiment analysis using Twitter data, which has been easy, thanks to Pytorchs's online community. ### 4. Torch - if you like lua you will love torch **Rating:** 4.5/5.0 stars **Reviewed by:** Otkrist G. | VP of Data Science, Enterprise (> 1000 emp.) **Reviewed Date:** May 09, 2019 **What do you like best about Torch?** Torch is very easy to incorporate, and at the same time highly flexible. The ease of use and flexibility allows rapid prototyping of components. Allowing people to conduct research at fast pace, develop ideas more quickly while not being bogged down by implementation details. At same time it allows us to dig deeper and understand fundamentals, making the learning loop faster and more effective. **What do you dislike about Torch?** I think biggest issue is the dependence on lua. Newer implementation of pytorch removes this issue. **Recommendations to others considering Torch:** Use torch if you want to use lua for deep learning. Use pytorch if you are interested in using python **What problems is Torch solving and how is that benefiting you?** Torch helped me accelerate the research output, I was able to develop neural networks faster and understand their inner working better. ### 5. Torch offers an easy to use scripting language that allows you to quickly prototype network designs. **Rating:** 5.0/5.0 stars **Reviewed by:** Hamadi M. | Graduate Research Assistant, Biotechnology, Enterprise (> 1000 emp.) **Reviewed Date:** August 14, 2019 **What do you like best about Torch?** Torch is an open source framework. The inclusion of pre-trained models makes the development of neural networks much faster. **What do you dislike about Torch?** Having to learn a new programming language. **What problems is Torch solving and how is that benefiting you?** I use Torch to develop solutions to the problem of whole slide image classification of the idiopathic inflammatory myopathies. Using Torch has allowed me to quickly try out solutions. ### 6. pytorch is very suitable for research **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) **Reviewed Date:** August 13, 2019 **What do you like best about Torch?** Pytorch is very easy to learn and very convenient to use. It is better than tensorflow mainly due to two points: 1. tf has too many interfaces for one function and it is hard for us to decide which one to use, but pytorch has suitable interface for a function; 2. when you want to print some dynamically in pytorch, you can do it directly but the case is different for tf. **What do you dislike about Torch?** The provided implementations of models need to be enhanced. **What problems is Torch solving and how is that benefiting you?** medical image segmentation, medical image synthesis and medical image analysis. ### 7. Torch Review **Rating:** 4.5/5.0 stars **Reviewed by:** Aanu B. | Assistant Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** July 10, 2019 **What do you like best about Torch?** It provides a lot of image augmentation tools like random rotation and vertical and horizontal flip. Most deep learning tutorials are implemented using torch. **What do you dislike about Torch?** It does not show training progress when working. **What problems is Torch solving and how is that benefiting you?** I used torch in a deep learning hackathon (which i won) for image classification and It was quite accurate when implementing on Resnet-13. ### 8. Pytorch in the field of deep learning **Rating:** 4.5/5.0 stars **Reviewed by:** Athulya G. | AI Research Intern, Civil Engineering, Small-Business (50 or fewer emp.) **Reviewed Date:** August 12, 2019 **What do you like best about Torch?** Torch helping to perform your deep learning modeling effectively and efficiently **What do you dislike about Torch?** I don't find any difficulty in using Torch. So no dislike **What problems is Torch solving and how is that benefiting you?** Image classification. ### 9. Deep Learning made easy **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** August 10, 2019 **What do you like best about Torch?** While entering Deep Learning code first, I found the abstraction of Torch's APIs very helpful. Within minutes, I was able to build up a deep neural network. **What do you dislike about Torch?** The documentation site could use some improvements in the general UX. **What problems is Torch solving and how is that benefiting you?** I was able to follow up on tutorials and blogs to build up a CapsuleNet model for detecting Diabetic Retinopathy. ### 10. NA **Rating:** 0.0/5.0 stars **Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.) **Reviewed Date:** August 12, 2019 **What do you dislike about Torch?** Torch requires to be more flexible to compete the market trends.Its rates can be made lower for the frequent users. **Recommendations to others considering Torch:** It is a good platform and I think it is east to implement and user friendly. **What problems is Torch solving and how is that benefiting you?** NA ### 11. Easy to understand **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** August 13, 2019 **What do you like best about Torch?** It's not intimidating even for beginners. I love the platform where we can ask questions and it's answered soon as well. **What do you dislike about Torch?** Setting up torch was little inconvenient. **What problems is Torch solving and how is that benefiting you?** Compressing neural networks. Convenient to use and good libraries. ### 12. Torch Framework **Rating:** 3.5/5.0 stars **Reviewed by:** Rashmi G. | Data Analyst intern, Utilities, Mid-Market (51-1000 emp.) **Reviewed Date:** October 04, 2018 **What do you like best about Torch?** Torch , has many packages in machine learning, signal processing, audio, video, and parallel processing. it also has neural networks and deep learning algorithms. Basically, Torch comes with the integration of LuaJIT programming language with underlying C implementation. It has better computational features where managing dependencies are easier than python. The most important reason I like this framework is, it doe not have compilation time which means your code interpreted and debugging is much easier **What do you dislike about Torch?** I personally like coding in Python and I prefer using tensor flow over torch. Otherwise, this product is as good as tensorflow. If someone is willing to learn a new language, this product is highly recommended. **Recommendations to others considering Torch:** Easy to use and learn **What problems is Torch solving and how is that benefiting you?** I have used torch to automate the process in my team by writing machine learning models which reduced the time required for analysis. The complete end to end process in the team is being automated using the neural network and deep learning algorithms using torch framework. ### 13. A fast and easy machine learning framework **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** July 06, 2019 **What do you like best about Torch?** It is a lot faster and easier to use than most other frameworks **What do you dislike about Torch?** No available feature to deploy on mobile devices **Recommendations to others considering Torch:** I recommend Pytorch to people who want to newly dive into deep learning because it is easy to use **What problems is Torch solving and how is that benefiting you?** Building deep learning models ### 14. Torch scientific computing framwerok for Luajit Machine Learning **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** May 01, 2018 **What do you like best about Torch?** 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 about Torch?** 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 Torch:** the TORCH will should be incorporate an feature that allow to use the LuaJit scripts without the LuaJit environment. **What problems is Torch solving and how is that benefiting you?** in our organization TORCH has solved the automatization of some process, through LUAJIT lenguaje and the compatibility with existents script based on C. ### 15. It's a good computing framework with lots of powerful features **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** September 30, 2018 **What do you like best about Torch?** I like the machine learning library and torch library for scientific computing **What do you dislike about Torch?** There is nothing specific I can mention here **What problems is Torch solving and how is that benefiting you?** I am trying to solve machine learning problems. I have realized that Torch is pretty fast and has all features I need. ## Torch Discussions - [How do I perform cross-validation and ensembling on Pytorch, and how can I integrate scikit-learn](https://www.g2.com/discussions/12676-how-do-i-perform-cross-validation-and-ensembling-on-pytorch-and-how-can-i-integrate-scikit-learn) - 1 upvote - [View Torch pricing details and edition comparison](https://www.g2.com/products/torch/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-23+16%3A26%3A08+-0500&secure%5Bsession_id%5D=69b84d33-f5c0-4e34-baf4-80c75806b0f2&secure%5Btoken%5D=36dab3f4bc58ec1cfe48fd79f82f3b9070a6ad0fdef97e8f1ccc1b50c57d3d2e&format=llm_user) ## Torch Features **Core Functionality - Artificial Neural Network** - Neural Network Training - Neural Network Testing - Model Evaluation - Compliance **Integration - Machine Learning** - Integration **Data Handling - Artificial Neural Network** - Data Integration - Data Preprocessing **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm **Performance - Artificial Neural Network** - Model Optimization - Scalability **Usability - Artificial Neural Network** - User Interface - Documentation & Support - Customizability **Advanced Features - Artificial Neural Network** - Deep Learning Capabilities - Transfer Learning - Real-Time Processing - Automated Model Tuning - Visualization Tools **Agentic AI - Artificial Neural Network** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making ## Top Torch Alternatives - [Automation Anywhere Agentic Process Automation](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews) - 4.5/5.0 (4,040 reviews) - [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) - 4.4/5.0 (1,943 reviews) - [Phrase](https://www.g2.com/products/phrase-phrase/reviews) - 4.5/5.0 (1,274 reviews)