Tensorflow
Showing 36 of 350 projects
A web-based IDE for machine learning and data science with pre-installed libraries and tools, deployable via Docker.
A curated list of Python software for data science, covering machine learning, deep learning, visualization, and data manipulation.
Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.
Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.
A debugging and visualization tool for data science, deep learning, and reinforcement learning in Jupyter Notebook.
Implementation of SRGAN for photo-realistic single image super-resolution using generative adversarial networks.
A collection of autonomous driving datasets and evaluation code for advancing machine perception and self-driving research.
A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
A cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
An open-source Python library for quantum computing, quantum machine learning, and quantum chemistry.
A library of differentiable digital signal processing functions for interpretable audio synthesis in deep learning models.
A modular TensorFlow library for applied reinforcement learning with a focus on flexible design and practical usability.
A modular TensorFlow library for applied reinforcement learning with a focus on flexible design and practical usability.
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
An open-source machine learning platform for distributed training, hyperparameter tuning, experiment tracking, and resource management.
A deep learning framework for training image classification models to solve complex captcha and OCR tasks.
A .NET binding to the TensorFlow C API for running existing machine learning models in C# and F#.
A TensorFlow library providing building blocks for implementing Reinforcement Learning agents.
A TensorFlow implementation of neural style transfer for images and videos, blending content and artistic styles using convolutional neural networks.
A Python library for machine learning on graphs and networks, offering state-of-the-art algorithms for tasks like node classification and link prediction.
A TensorFlow library for implementing, deploying, and testing Contextual Bandits and Reinforcement Learning algorithms.
An easy-to-use, scalable hyperparameter optimization framework for Keras models with define-by-run syntax and built-in search algorithms.
A TensorFlow implementation of a neural conversational model (seq2seq) for building deep learning chatbots.
A lightweight deep learning library with a functional API for composing models, compatible with PyTorch, TensorFlow, and MXNet.
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 fast, customizable Git repository analysis engine for extracting advanced insights from commit history.
Convert Caffe deep learning models to TensorFlow format for deployment and inference.
A TensorFlow library for Learning-to-Rank (LTR) techniques, providing loss functions, metrics, and models for ranking tasks.
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Deep neural network to extract structured information from invoice documents with a customizable UI and training tools.
A collection of beginner-friendly TensorFlow tutorials using Jupyter Notebook, covering deep learning fundamentals and practical applications.
A JavaScript application framework for machine learning and its engineering, designed for Web developers.
TensorFlow implementation of Deep Q-Networks (DQN) for human-level control in reinforcement learning environments.
An open-source deep learning API and server written in C++ that supports multiple backends like PyTorch, TensorRT, and TensorFlow for training and inference.
A Python library for outlier, adversarial, and drift detection in machine learning models, supporting tabular, text, image, and time series data.
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