Tensorflow
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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.
A collection of autonomous driving datasets and evaluation code for advancing machine perception and self-driving research.
A library of differentiable digital signal processing functions for interpretable audio synthesis in deep learning models.
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 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 cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry.
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.
Convert Caffe deep learning models to TensorFlow format for deployment and inference.
A fast, customizable Git repository analysis engine for extracting advanced insights from commit history.
A TensorFlow library for Learning-to-Rank (LTR) techniques, providing loss functions, metrics, and models for ranking tasks.
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.
An ultra-light, Go-based open source ecosystem for building event-driven serverless functions, microservices, and edge applications.
A Go library that simplifies TensorFlow's Go bindings with method chaining, automatic scoping, and type conversion.
A ROS/ROS2 multi-robot simulator for autonomous vehicles, built on Unity HDRP for high-fidelity testing.
An open-source framework for machine learning and other computations on decentralized data.
A Python library for graph deep learning built on Keras and TensorFlow 2, providing flexible tools for graph neural networks.
A modular toolkit for machine learning, natural language processing, and text generation with TensorFlow and PyTorch versions.
A large-scale dataset of object-centric video clips with 3D bounding box annotations and AR metadata for 3D object detection research.
A Python library for automatic differentiation that generates readable Python source code as its derivative output.
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