Machine learning

A rule in the AwesomeRepos source code puts a repository in this Category when one of these is true. A machine applies the rule to each repository each hour, and a repository can be in more than one Category. The rule groups repositories by area. It does not rank them and does not say that one is better than another.

One of its topics is ai, artificial-intelligence, computer-vision, cuda, deep-learning, deep-neural-networks, deeplearning, diffusion-models, gan, huggingface, image-classification, image-generation, image-segmentation, inference, jax, keras, machine-learning, ml, mlops, natural-language-processing, neural-network, neural-networks, nlp, object-detection, ocr, onnx, opencv, pytorch, reinforcement-learning, scikit-learn, or one of 12 more topics.

A topic starts with pytorch-, tensorflow-, machine-learning-, deep-learning-.

Its description contains the words “machine learning”, “deep learning”, “neural network”, “neural networks”, “pytorch”, “tensorflow”, “computer vision”, “object detection”, “reinforcement learning”, “natural language processing”, “speech recognition”, “text-to-speech”, “stable diffusion”.

Withheld Repositories are left out of all numbers on this page. The daily line adds up the Star History of the repositories in the Category now.