Showing 621-640 of 1,591 projects
Quantitative trading resources with a focus on machine learning and AI tools
Seamlessly integrate large language models (LLMs) like ChatGPT into scikit-learn machine learning pipelines.
An open-source deep learning-based tool for automatic colorization of grayscale images.
A powerful debugging, monitoring and visualization tool for Python Machine Learning and Data Science workflows.
Interactive learning app for AI theory and applications, with Jupyter Notebook examples.
The next generation deep reinforcement learning toolkit for AI researchers and developers.
A deep linking library for iOS apps that makes it easy to handle deep links and URL schemes.
A high-performance deep learning architecture that improves upon the classic VGG model.
An image inpainting model using deep neural networks and attention mechanisms, useful for vibe coders working on AI-powered applications.
A flexible AutoML framework with learning guarantees for building high-performance AI models.
An extremely lightweight implementation of GPT-2 in NumPy, useful for vibe coders building AI-powered apps.
Machine learning tutorials in Python3 for data science and deep learning
Image Restoration Toolbox with PyTorch-based training and testing codes for various AI-powered restoration models.
This repository provides the Chinese Simplified documentation for the TVM (Tensor Virtual Machine) framework, a popular open-source deep learning compiler stack.
A collection of Jupyter Notebooks providing tutorials and examples for machine learning and deep learning using Python and PyTorch.
Generates synthetic tabular data for machine learning and AI applications
An open machine learning course that covers a wide range of topics including computer vision, natural language processing, and reinforcement learning.
Jiagu is a deep learning-based NLP toolkit that provides features like Chinese word segmentation, NER, sentiment analysis, and more.
The fast.ai course notebooks, a resource for developers to learn deep learning and machine learning using the fastai library.
Modularized implementation of deep reinforcement learning algorithms in PyTorch for researchers and developers.
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