Tensorflow
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A convolutional neural network model built with Keras for recognizing captcha images generated by the Laravel Captcha library.
A simulation-based deep learning approach to enhance the resolution of 3D lidar point clouds for ground vehicles.
A curated collection of tools, tutorials, models, and resources for mastering TensorFlow.js.
A TensorFlow implementation of neural text generation from structured data, converting tabular information into natural language summaries.
A deep learning model using generative adversarial networks for fast compressed sensing MRI reconstruction.
A Python machine learning and informatics suite for analyzing, mining, and modeling chemical and materials data.
A Keras implementation of Microsoft's R-NET neural network for question answering on the SQuAD dataset.
A collection of examples demonstrating how to use Comet.ml for machine learning experiment tracking across various Python frameworks.
A TensorFlow C API wrapper enabling machine learning in server-side Swift applications.
A trading environment for reinforcement learning agents, supporting backtesting, live trading, and multiple RL algorithms.
A Python library that builds neural networks with minimal boilerplate code for PyTorch and TensorFlow.
A genetic programming platform for Python with TensorFlow for fast CPU and GPU symbolic regression and classification.
A neuroevolution-based trading bot that evolves populations of neural networks to trade cryptocurrency using technical analysis.
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.
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
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.
A method for selecting interpretable feature subsets from complex models using mutual information optimization.
An experimental library that converts TensorFlow functions and graphs into JAX functions for reuse and fine-tuning within JAX codebases.
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.
Official JAX implementation of XMC-GAN for text-to-image generation using cross-modal contrastive learning.
A Keras implementation of Ladder Networks for semi-supervised learning, achieving 98% accuracy on MNIST with only 100 labeled examples.
A TensorBoard JupyterLab plugin that integrates TensorBoard directly into JupyterLab with improved user experience and long-term maintenance.
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 deep learning system for automatic spoken language identification from audio files using TensorFlow and Caffe.
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.
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