Showing 461-480 of 817 projects
A collection of code and resources for analyzing and predicting stock market behavior using deep learning and machine learning.
Software and pre-trained models for automatic photo quality enhancement using deep learning.
A repository of papers on pretraining and self-supervised learning for graph neural networks.
A comprehensive library of PyTorch tutorials and best practices for deep learning and machine learning developers.
A suite of image and video neural tokenizers for AI-driven content creation and analysis.
A collection of TensorFlow 2.0 examples for deep learning, computer vision, and more.
A free, private DeepSeek RAG chatbot with hybrid retrieval, neural reranking, and HyDe for boosting chatbot performance.
This is a library of useful extra functionality for TensorFlow 2.x, maintained by the TensorFlow SIG-addons community.
Differentiable SDE solvers with GPU support and sensitivity analysis
Highly optimized library for accelerating neural network inference on multi-core CPUs
A curated collection of YOLO object detection projects and datasets for developers working with computer vision and AI.
Official implementation of the RAVE model, a Realtime Audio Variational autoEncoder for generative audio AI.
Implements the 4 agentic patterns from scratch in a Jupyter Notebook for developers building with AI tools.
Graph4nlp is a library for easy use of Graph Neural Networks for Natural Language Processing (NLP) tasks.
A Python library that improves the stability and accuracy of convolutional neural networks (CNNs) in computer vision tasks.
A Python library for Chinese word segmentation, part-of-speech tagging, and named entity recognition.
This is a Python library for audio tagging using a convolutional neural network model trained on the AudioSet dataset.
Nx-powered Neural Networks library for building deep learning models in Elixir
A hand detection library for building computer vision applications using neural networks and TensorFlow.
A deep learning library for head pose estimation using PyTorch, useful for computer vision applications.
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