Showing 1581-1600 of 4,064 projects
A curated list of tools and datasets for anomaly detection on time-series data.
Pytorch implementation of various deep reinforcement learning algorithms for vibe coders.
A sparsity-aware deep learning inference runtime for CPUs, optimized for performance and efficiency.
Simple kernel for learning operating systems, not related to AI coding tools.
Minimal implementations of basic reinforcement learning algorithms in PyTorch for educational purposes.
A curated collection of Go resources for learning and building Go projects, from beginner to advanced.
TensorFlow API for .NET languages, enabling .NET developers to build machine learning models.
This is a deep learning library in Python, C, C++, Java, Scala, and Go for developers interested in AI and machine learning.
A comprehensive Android knowledge map and resource collection for advanced Android developers.
An advanced multimodal AI model series for vision-language reasoning, developed by Skywork AI.
Shapash is a library that provides user-friendly explainability and interpretability for machine learning models.
Open-source statistical and algorithmic investing strategies for everyone
An extensible NLP framework for building powerful text processing and analysis applications in Python.
A fast and accurate object detection method with new technologies like NAS backbones and efficient RepGFPN.
A comprehensive DevOps learning and resource repository for developers, with tools, scripts, and best practices.
A comprehensive guide to big data, covering various tools and technologies for learning and development.
Converts machine learning code into microservices with web API and GUI.
A delightful machine learning tool that allows you to train, test, and use models without writing code
TensorFlow Reinforcement Learning library for developing AI agents and models.
Foundation Architecture for (M)LLMs, a powerful toolkit for building large language models.
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