Showing 1-20 of 24 projects
Deep learning tutorial for image processing with PyTorch and TensorFlow2
A collection of state-of-the-art deep learning scripts for various AI/ML tasks, easily trainable and deployable.
FinRL is a financial reinforcement learning library that helps developers build AI-driven trading agents.
An open-source deep learning book based on TensorFlow 2.0, providing hands-on examples for vibe coders.
Comprehensive learning roadmap for AI & machine learning, with 200+ practical cases and projects for beginners to experts.
A deep learning library for text-to-speech applications, focusing on generating high-quality speech from text.
A comprehensive Tensorflow 2.0 tutorial and learning resource for developers.
A comprehensive collection of machine learning and deep learning resources for developers.
A collection of TensorFlow 2.0 tutorials in Chinese for developers to learn AI and machine learning.
docTR is a high-performing and accessible library for OCR-related tasks powered by deep learning.
A comprehensive deep learning course with TensorFlow focused on foundational concepts and practical applications.
Tools to design or visualize the architecture of neural networks
A real-time state-of-the-art speech synthesis library for TensorFlow 2, supporting multiple languages.
A project that reimplements the 'Dive into Deep Learning' book's MXNet examples using TensorFlow 2.0 for vibe coders.
A collection of 100 deep learning examples for computer vision, NLP, and other AI/ML tasks using TensorFlow and PyTorch.
A library for building graph neural networks using Keras and TensorFlow 2.
A Python library for building recommender systems using popular deep learning techniques like DeepFM, NCF, and more.
A collection of TensorFlow 2.0 examples for deep learning, computer vision, and more.
Official repository for the 'Big Transfer (BiT): General Visual Representation Learning' paper, focused on transfer learning for computer vision.
A Python library for single image super-resolution using EDSR, WDSR, and SRGAN models.
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