Showing 401-420 of 437 projects
A free, straightforward roadmap to learn machine learning for developers.
A verified implementation of the Standard ML programming language, with a focus on formal semantics and verification.
A collection of samples and tools for building AI-powered Windows applications using frameworks like TensorFlow and PyTorch.
High-performance TensorFlow Lite library for React Native with GPU acceleration.
A fast data versioning system for ML datasets, making it easy to version and track changes like code.
A library for calling Python functions from the Ruby language, enabling data science and ML workflows.
A C++ library for building machine learning applications, revitalizing C++ as a ML front-end.
A starter agent that can solve a number of OpenAI Universe environments, useful for AI and ML developers.
A curated list of 99 machine learning projects for anyone interested in learning and building with ML
A curated collection of books and resources for various programming languages and technologies, including AI, data, and web development.
Official PyTorch implementation of the NVAE deep hierarchical variational autoencoder for AI and ML developers.
A Python library for OCR text recognition using a CNN-based seq2seq model with visual attention, compatible with Google Cloud ML Engine.
A collection of Jupyter Notebooks for a Machine Learning course, focused on Python and AI/ML concepts.
A book focused on guiding the structure of Machine Learning projects and understanding how ML algorithms work.
An open-source Java machine learning framework for rapid development of ML and statistical apps.
A paper list for equivariant neural networks, a powerful AI architecture for symmetry-aware ML models.
An open-source ML system for the end-to-end data science lifecycle, including Java and Python support.
PyTorch code for a CVPR 2018 paper on few-shot learning, a technique for training ML models with limited data.
A curated list of Bilibili creators who teach technical topics like web dev, CS, ML, and more.
A comprehensive guide for developers to stay up-to-date with the latest advancements in AI, ML, DL, and computer vision.
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