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Comprehensive deep learning notes covering popular frameworks, books, and models for AI/ML developers.
A private AI platform for building agents, assistants, and enterprise search with multi-model support and API connectivity.
CNTK is an open-source deep learning toolkit for training and deploying AI models.
A collection of machine learning and deep learning tutorials, articles, and resources.
A repository of machine learning and NLP knowledge, providing code implementations for common concepts.
High-performance in-browser LLM inference engine for building AI-powered web applications and tools.
Repository of code samples for the book 'Neural Networks and Deep Learning' focused on machine learning.
A collection of various deep learning architectures, models, and tips for AI and machine learning developers.
Materials for learning PyTorch, a deep learning framework, from zero to mastery.
A comprehensive collection of deep learning tutorials, articles, and resources for developers.
An autonomous agent for deep financial research using TypeScript
A curated collection of the latest machine learning and AI courses on YouTube for developers.
A library of deep learning models and datasets to make deep learning more accessible and accelerate ML research.
A collection of figures and templates for improving scientific writing with machine learning.
Code for machine learning-based algorithmic trading strategies and workflows.
A neural network that transforms design mockups into static websites, for developers building with AI tools.
An AI-powered quantitative investment research platform for algorithmic trading and backtesting.
A comprehensive list of PyTorch-related content on GitHub, including models, libraries, and tutorials.
A tutorial on deep learning by renowned professor Li Hongy, covering a wide range of AI and machine learning topics.
Simple and ready-to-use tutorials for the TensorFlow deep learning framework.
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