Tensorflow
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A deep learning approach that unifies global place recognition and local 6DoF pose refinement for robust relocalization in large-scale 3D point clouds.
A deep learning model that classifies sounds in 10-second audio clips into 527 categories from the AudioSet ontology.
A TensorFlow implementation of hierarchical attentive recurrent neural networks for single object tracking in videos.
A TensorFlow-based neural network model for generating descriptive captions from images using Flickr30K and MSCOCO datasets.
A machine learning algorithm for accurate, energy-efficient outdoor positioning using 5G mmWave beamformed fingerprints.
A symbolic programming library built on JAX for concise, explicit, and optimized machine learning computations.
A deep learning tool for automatic axon and myelin segmentation from microscopy images using convolutional neural networks.
An experimental library that converts TensorFlow functions and graphs into JAX functions for reuse and fine-tuning within JAX codebases.
A method for selecting interpretable feature subsets from complex models using mutual information optimization.
A TensorFlow implementation of the Mnemonic Descent Method for end-to-end face alignment.
A lightweight Clojure wrapper for TensorFlow's Java API, providing idiomatic access to machine learning operations.
A DSL-based library for unified tensor reshaping, squeezing, expanding, and transposing in JAX, TensorFlow, and NumPy.
A tutorial and demo using Hyperopt to auto-optimize CNN architecture and hyperparameters for the CIFAR-100 dataset with Keras/TensorFlow.
A Keras implementation of Ladder Networks for semi-supervised learning, achieving 98% accuracy on MNIST with only 100 labeled examples.
Official JAX implementation of XMC-GAN for text-to-image generation using cross-modal contrastive learning.
A TensorBoard JupyterLab plugin that integrates TensorBoard directly into JupyterLab with improved user experience and long-term maintenance.
A deep learning system for automatic spoken language identification from audio files using TensorFlow and Caffe.
A collection of refactored, high-quality Android examples demonstrating TensorFlow Lite for on-device machine learning tasks.
A Delphi/Pascal binding for TensorFlow and Keras that enables Pascal developers to build, train, and deploy machine learning models.
A TensorLayer re-implementation of CycleGAN with improvements like resize-convolution and instance normalization.
TensorFlow implementation of hierarchical attention networks for document classification using GRU cells and attention mechanisms.
A pre-configured Docker image with deep learning frameworks, data science tools, and GPU support for rapid environment setup.
A curated archive of pre-trained computer vision models for object detection, face recognition, fire detection, and more.
A TensorFlow-based model that generates descriptive captions for images using an Inception-v3 encoder and LSTM decoder.
A TensorFlow implementation of Attend, Infer, Repeat (AIR), a generative model for fast scene understanding by reconstructing objects sequentially.
A neural network model that integrates neighbor information from heterogeneous networks to discover new drug-target interactions.
A Docker-based speech recognition model that converts short English WAV audio files into text using Mozilla's DeepSpeech.
An implementation of unsupervised image-to-image translation using Generative Adversarial Networks (GANs).
A TensorFlow/Keras LSTM model for hourly weather forecasting, offering univariate, multivariate, and multistep prediction modes.
A simple implementation of the DAGGER imitation learning algorithm for autonomous steering control in the Torcs racing simulator.
A TensorFlow-based convolutional neural network for recognizing four-digit CAPTCHA images.
Code for the Kaggle Dogs vs. Cats image classification competition using deep learning.
Detects humans in images and estimates their poses by identifying body parts and connecting them with pose lines.
A curated collection of machine-learned models for autonomous driving tasks like perception, prediction, and planning.
ROS2 nodes for performing computer vision inference using TensorFlow models, enabling object detection and image classification in robotics.
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