Showing 36 of 56 projects
A deep learning tool for upscaling and denoising anime-style images and photos using convolutional neural networks.
GPU-accelerated neural network library for JavaScript, running in browsers and Node.js.
Google's IPython Notebook demonstrating neural network art generation using the DeepDream technique.
A high-performance automatic speech recognition toolkit from Facebook AI Research, built with fully convolutional neural networks.
Facebook AI Research's automatic speech recognition toolkit for end-to-end ASR with modern neural architectures.
A TensorFlow implementation of YOLO for real-time object detection, supporting weight conversion, training, and mobile deployment.
A TensorFlow implementation of a convolutional neural network for sentence classification based on Yoon Kim's paper.
Efficient image captioning code in Torch, using a CNN-RNN model to generate captions for images, optimized for GPU training.
A fully convolutional neural network for real-time instance segmentation, achieving high speed and accuracy on COCO.
Official code repository for the 'Machine Learning with TensorFlow' book with practical examples.
A MATLAB/Octave toolbox for deep learning with implementations of neural networks, deep belief nets, autoencoders, and convolutional networks.
A TensorFlow project template with a well-designed folder structure and OOP design to accelerate deep learning development.
A TensorFlow implementation of neural style transfer for images and videos, blending content and artistic styles using convolutional neural networks.
A TensorFlow-based CNN solution for recognizing character-based CAPTCHAs, providing training, validation, and API modules.
A deep learning project using Keras to build convolutional and recurrent neural networks for high-accuracy captcha recognition.
A benchmarking suite comparing the performance of public convolutional neural network implementations across multiple deep learning frameworks.
A collection of beginner-friendly TensorFlow tutorials using Jupyter Notebook, covering deep learning fundamentals and practical applications.
A pioneering object detection system that combines region proposals with convolutional neural network features, significantly advancing detection accuracy.
A deep learning-based edge detection algorithm using holistically-nested fully convolutional neural networks.
A computer vision library for human-computer interaction, focusing on head pose estimation, gaze direction, skin detection, motion tracking, and saliency mapping using CNNs.
An abstraction layer over MetalPerformanceShaders for crafting and running fast neural networks on iOS using TensorFlow models.
Official repository for Big Transfer (BiT) models, providing pre-trained visual representations for efficient transfer learning across computer vision tasks.
A deep learning framework for feature learning directly from point clouds using X-Conv operations, achieving state-of-the-art results in classification and segmentation.
A MATLAB toolbox implementing Convolutional Neural Networks (CNNs) for computer vision applications.
A lightweight header-only C++ library for running Keras (TensorFlow) models without linking against TensorFlow.
An audio processing toolbox using PyTorch 1D convolutional neural networks for on-the-fly spectrogram generation with trainable kernels.
A deep learning library for tag estimation and semantic feature vector extraction from illustrations.
A convolutional network-based image classifier and feature extractor trained on ImageNet, providing dense feature extraction capabilities.
Classify music genre from a 10-second audio stream using a convolutional neural network trained on mel-frequency spectrograms.
A deep learning system that classifies food images into 230 categories and retrieves matching recipes using convolutional neural networks.
A convolutional neural network model for real-time road-object segmentation from 3D LiDAR point clouds.
A command-line tool for neural network inference using Unix pipeline philosophy.
A web application that uses a CNN model to recognize handwritten Chinese characters from an online drawing canvas.
A fast C++ GPU implementation of Convolutional Neural Networks with multi-GPU support.
Winning solution for the Galaxy Challenge on Kaggle, using convolutional neural networks to classify galaxy morphologies.
A Caffe implementation of MTCNN for joint face detection and alignment using a multi-task cascaded convolutional neural network.
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