Tensorflow
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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.
A Python library for audio data augmentation to improve the robustness of audio machine learning models.
Official TensorFlow Python wheels for Raspberry Pi, enabling machine learning on edge devices.
A toolkit and library for developing, evaluating, and reproducing reinforcement learning algorithms.
A TensorFlow library for building, training, and deploying recommender system models with Keras.
A deep learning-based facial detection library for Python with facial landmark extraction.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos using TensorFlow.
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
A computer vision library for human-computer interaction, focusing on head pose estimation, gaze direction, skin detection, motion tracking, and saliency mapping using CNNs.
A deep reinforcement learning framework for financial portfolio management with policy gradient optimization and backtesting tools.
A collection of interactive machine learning experiments with Jupyter notebooks for training and browser demos for visualization.
A library for creating TensorFlow models that handle structured data with dynamic computation graphs using dynamic batching.
A curated collection of high-quality deep learning resources, including courses, books, papers, libraries, and datasets.
An abstraction layer over MetalPerformanceShaders for crafting and running fast neural networks on iOS using TensorFlow models.
An easy-to-use, state-of-the-art named-entity recognition (NER) tool based on neural networks.
TensorFlow implementation of YOLO for real-time object detection using pretrained YOLO_small, YOLO_tiny, and YOLO_face models.
A deep learning pipeline for 3D object detection from RGB-D data by combining 2D detectors with PointNet-based 3D processing.
A Python package for generating synthetic tabular and time-series data using state-of-the-art generative models like GANs and Gaussian Mixtures.
A Python library for automated hyperparameter optimization and model evaluation with TensorFlow, Keras, and PyTorch.
A language for distributed deep learning that simplifies model parallelism by specifying tensor computations across hardware meshes.
A deprecated repository for community-contributed Keras extensions like layers, activations, and loss functions.
Elephas is a Keras extension for distributed deep learning on Apache Spark, enabling data-parallel training at scale.
A high-level Deep Learning API for JVM and Android developers, written in Kotlin and inspired by Keras.
An efficient neural network for semantic segmentation of large-scale 3D point clouds using random sampling.
A deep learning model for machine comprehension that uses bi-directional attention flow to answer questions about text passages.
MLeap is a portable execution engine for deploying machine learning pipelines from Spark and Scikit-learn without their runtime dependencies.
Official repository for Big Transfer (BiT) models, providing pre-trained visual representations for efficient transfer learning across computer vision tasks.
A TensorFlow library for building Graph Neural Networks with support for heterogeneous graphs and scalable data processing.
A curated list of awesome links, software libraries, and resources for robotics development.
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