AI · alternatives · 2026
24 alternatives to Kornia
Computer vision library for deep learning
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Kornia launched in 2021; newer entries below may have overtaken it.
- 1
TensorFlow 1.0▲823Open-source machine learning library by Google
2017 · tensorflow.org · its alternatives →
- 2
Keras code and weights files for popular deep learning models. - fchollet/deep-learning-models
2016 · github.com · its alternatives →
- 3
Hello HN! For the past 6 months I've been working on an open source python library that implements differentiable geometric optics in PyTorch. It's very experimental still, but eventually the goal is to use it to design optical systems with a state of the art optimization framework and a beautiful code based API. Think OpenSCAD, but for optical systems. Not only is PyTorch's autograd an amazing general purpose optimizer, but torch.nn (the neural network building blocks) can be used pretty much out of the box to model an optical system. This is because there is a strong analogy to be made…
2025 · victorpoughon.github.io · its alternatives →
- 4IT
2018 · wykobi.com · its alternatives →
- 5
Picsellia Atlas▲155Your vision AI agent to build VisionAI applications
2025 · picsellia.com · its alternatives →
- 6
Save 30% of dev time - generate tests without writing code
2023 · github.com · its alternatives →
- 7
Pre-trained computer vision models and public datasets
2021 · universe.roboflow.com · its alternatives →
- 8
A Blender addon for generating synthetic ground truth data for Computer Vision applications - GitHub - Cartucho/vision_blender: A Blender addon for generating synthetic ground truth data for Computer Vision applications
2020 · github.com · its alternatives →
- 9
The light PyTorch wrapper for high-performance AI research
2020 · pytorchlightning.ai · its alternatives →
- 10
Weights & Biases▲110Developer tools for deep learning & machine learning
2019 · wandb.ai · its alternatives →
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Graph Neural Networks with Keras and Tensorflow 2. - danielegrattarola/spektral
2019 · github.com · its alternatives →
- 14
An online course on how to detect objects in real time
2019 · lode88vn.skin · its alternatives →
- 15
OpenCV AI Kit▲120A tiny, powerful, open source Spatial AI system
2020 · kickstarter.com · its alternatives →
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Hi HN, Over the past few months, I've been building `dsc`, a tensor library from scratch in C++/CUDA. My main focus has been on getting the basics right, prioritizing a clean API, simplicity, and clear observability for running small LLMs locally. The key features are: - C++ core with CUDA support written from scratch. - A familiar, PyTorch-like Python API. - Runs real models: it's complete enough to load a model like Qwen from HuggingFace and run inference on both CUDA and CPU with a single line change[1]. - Simple, built-in observability for both Python and C++. Next on the roadmap is…
2025 · github.com · its alternatives →
- 18
Visions is a python library for working with user defined data type systems. Out of the box, it provides type inference and automated data cleaning of sequence data with backend specific implementations for pandas, spark, python, and numpy. We often use it as a first pass cleaning step when working with tabular data and to simplify the backend logic of both pandas-profiling[1] and our tabular data compression library compressio[2]. Because data types are user defined, we can build user customizable libraries based around types without adding code complexity. In the case of compressio that…
2022 · github.com · its alternatives →
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Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
- 21
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I'm a machine learning engineer and researcher. I got fed up with how difficult it is to understand why neural networks behave the way they do, so i wrote a library to help with it. Comgra (computation graph analysis) is a library you can use with pytorch to extract all the tensor data you care about and visualize it graphically in a browser. This allows for a much more detailed analysis of what is happening than the usual approach of using tensorboard. You can go investigate tensors as training proceeds, drill down into individual neurons, inspect single data sets that are of special…
2023 · github.com · its alternatives →
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Deep Learning course for Vision
2021 · arthurdouillard.com · its alternatives →
- 24PO
Our company Vertex.AI has been working on this for a while but this is the first public release. We're starting with using PlaidML to bring OpenCL support to Keras and more frameworks, platforms, etc are coming. Yes, this means you can use use your AMD GPU for deep learning dev. Sorry, no Mac or Windows support yet although the brave can try building from source (it should work). http://vertex.ai/blog/announcing-plaidml https://github.com/plaidml/plaidml
2017 · its alternatives →
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- Set of trained deep learning models for computer vision alternatives
- Torch Lens Maker – Differentiable Geometric Optics in PyTorch alternatives
- Introduction to Simple Computational Geometry Concepts Using C++ alternatives
- Picsellia Atlas alternatives
- Pythagora - automated integration tests alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →