Theano
Pytorch
| Theano | Pytorch | |
|---|---|---|
| - | 392 | |
| 9,933 | 90,111 | |
| 0.2% | 2.1% | |
| 5.0 | 10.0 | |
| over 1 year ago | 4 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Theano
We haven't tracked posts mentioning Theano yet.
Tracking mentions began in Dec 2020.
Pytorch
-
I Don't Like NumPy
I tried to do something similar with 'first-class' dimension objects in PyTorch https://github.com/pytorch/pytorch/blob/main/functorch/dim/R... .
-
Grasping Computer Vision Fundamentals Using Python
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but contextualise them with human-like reasoning. Start building, and you’ll shape how tomorrow’s machines perceive reality.
-
Will Supercapacitors Come to AI's Rescue?
Paraphrasing this[1]?
[1] https://github.com/pytorch/pytorch/pull/132936/files#diff-98...
-
Top Programming Languages for AI Development in 2025
With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond.
-
How to Get Started with Scikit-Learn: A Beginner-Friendly Guide to Machine Learning in Python
PyTorch
-
Fine-tuning LLMs locally: A step-by-step guide
Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:
-
Ask HN: Why hasn't AMD made a viable CUDA alternative?
> But that does not seem to be the strategy, which implies it is not so simple?
That is exactly what has been happening [1], and not just in pytorch. Geohot has been very dedicated in working with AMD to upgrade their station in this space. If you hang out in the tinygrad discord, you can see this happening in real time.
> those I have talked to say they depend on a lot more than just one or two key libraries.
Theres a ton of libraries out there yes, but if we're talking about python and the libraries in question are talking to GPUs its going to be exceedingly rare that theyre not using one of these under the hood: pytorch, tensorflow, jax, keras, et al.
There are of course exceptions to this, particular if you're not using python for your ML work (which is actually common for many companies running inference at scale and want better runtime performance, training is a different story). But ultimately the core ecosystem does work just fine with AMD GPUs, provided you're not doing any exotic custom kernel work.
[1] https://github.com/pytorch/pytorch/pulls?q=is%3Aopen+is%3Apr...
-
10 Useful Tools and Libraries for Python Developers
4. PyTorch - A Deep Learning Powerhouse
-
torch.export()
GraphModule compiles every instruction into low-level ATen operations.
-
10 Must-Have AI Tools to Supercharge Your Software Development
8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network design, training, and deployment in production environments. Download TensorFlow here and Download PyTorch here.
What are some alternatives?
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
neptune-client - 📘 The experiment tracker for foundation model training
tensorflow - An Open Source Machine Learning Framework for Everyone
Caffe2
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️