Tensorflow
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A Go library that simplifies TensorFlow's Go bindings with method chaining, automatic scoping, and type conversion.
An ultra-light, Go-based open source ecosystem for building event-driven serverless functions, microservices, and edge applications.
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 deep learning-based facial detection library for Python with facial landmark extraction.
A TensorFlow library for building, training, and deploying recommender system models with Keras.
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 curated collection of high-quality deep learning resources, including courses, books, papers, libraries, and datasets.
A library for creating TensorFlow models that handle structured data with dynamic computation graphs using dynamic batching.
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.
A high-level Deep Learning API for JVM and Android developers, written in Kotlin and inspired by Keras.
Elephas is a Keras extension for distributed deep learning on Apache Spark, enabling data-parallel training at scale.
An efficient neural network for semantic segmentation of large-scale 3D point clouds using random sampling.
A TensorFlow library for building Graph Neural Networks with support for heterogeneous graphs and scalable data processing.
MLeap is a portable execution engine for deploying machine learning pipelines from Spark and Scikit-learn without their runtime dependencies.
A deep learning model for machine comprehension that uses bi-directional attention flow to answer questions about text passages.
Official repository for Big Transfer (BiT) models, providing pre-trained visual representations for efficient transfer learning across computer vision tasks.
A curated list of awesome links, software libraries, and resources for robotics development.
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