Tensorflow
Showing 36 of 287 projects
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.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos using TensorFlow.
A deep learning-based facial detection library for Python with facial landmark extraction.
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 library for creating TensorFlow models that handle structured data with dynamic computation graphs using dynamic batching.
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.
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.
Official repository for Big Transfer (BiT) models, providing pre-trained visual representations for efficient transfer learning across computer vision tasks.
MLeap is a portable execution engine for deploying machine learning pipelines from Spark and Scikit-learn without their runtime dependencies.
A TensorFlow library for building Graph Neural Networks with support for heterogeneous graphs and scalable data processing.
An example Android project demonstrating how to build and integrate TensorFlow for object detection using the camera.
A deep learning framework for feature learning directly from point clouds using X-Conv operations, achieving state-of-the-art results in classification and segmentation.
A curated list of awesome CAPTCHA libraries for generation and tools for cracking them.
A repository implementing Deep Reinforcement Learning and Supervised Learning methods with a simulated financial market environment for quantitative trading.
A curated list of awesome links, software libraries, and resources for robotics development.
A curated collection of TensorFlow Lite models, sample apps, tools, and learning resources for mobile and edge AI development.
A curated collection of open-source computer vision pre-trained models across TensorFlow, Keras, PyTorch, Caffe, and MXNet frameworks.
A visual debugger for TensorFlow with breakpoints and real-time data visualization during neural network training.
An R interface to TensorFlow, providing access to the complete TensorFlow API for numerical computation and machine learning.
Train neural networks with OpenStreetMap data and satellite imagery to classify roads and map features.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.