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A collection of articles on machine learning concepts and techniques by the author
A comprehensive collection of AI-powered tools, techniques, and resources for building advanced data-driven applications.
An open-source, modern-design AI training tracking and visualization tool with support for various ML frameworks.
A deep learning-based project for creating line art portraits using Jupyter Notebooks.
DeepVariant is an AI-powered bioinformatics pipeline for calling genetic variants from DNA sequencing data.
A comprehensive machine learning and data science course with Jupyter Notebook materials.
This is a best practice for a TensorFlow project template architecture for developers building AI-powered applications.
A TensorFlow library for the YOLOv3 object detection model, enabling vibe coders to build cutting-edge computer vision applications.
A minimalist and clean set of reinforcement learning examples in Python for developers to learn and experiment with.
Handwritten notes for Andrew Ng's Coursera Machine Learning course, a popular resource for learning AI/ML.
Deep learning library for point clouds in 3D space
Thin-Plate Spline Motion Model for image animation, face reenactment, and motion transfer
A distributed deep learning platform for building and deploying AI models at scale.
A high-performance face recognition library for developers built on PaddlePaddle and PyTorch.
A PyTorch-powered library for loading and processing text data for natural language processing tasks.
A TensorFlow-based example of human activity recognition using an LSTM RNN on smartphone sensor data.
A thorough PyTorch tutorial for developers to learn and master the deep learning framework
Curated tutorials and resources for large language models, text-to-SQL, and related AI-powered development tools
A collection of classic papers and resources on recommendation systems and machine learning
An open-source tool for labeling images and training computer vision models using a variety of popular detection models.
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