Tensorflow
Showing 36 of 287 projects
A library for evaluating TensorFlow models on large datasets with distributed computation and slicing analysis.
A library for building high-performance custom human pose estimation applications with real-time inference and flexible model development.
A high-level builder API for TensorFlow that enables fluent, chainable neural network construction.
A Python library for 2D/3D object detection and instance segmentation in microscopy images using star-convex shapes.
A lightweight header-only C++ library for running Keras (TensorFlow) models without linking against TensorFlow.
A collection of TensorFlow tutorials and examples covering image classification, GANs, text classification, and model deployment.
A 3D segment-based mapping library for robot localization, environment reconstruction, and semantics extraction using LiDAR data.
OpenAI Gym environments and tools for training a 3D-printed quadruped robot (SpotMicro) using reinforcement learning.
A TensorFlow-based educational project for learning seq2seq RNNs through signal forecasting exercises.
TensorFlow implementation of Neural Turing Machines with LSTM controllers, supporting multiple read/write heads.
A TensorFlow-based GAN model that upscales images by 4x while generating photo-realistic details.
A scalable, event-driven backtesting library for reinforcement learning in algorithmic trading, built on Backtrader with OpenAI Gym API.
An interactive visual interface for exploring and debugging black-box machine learning models without writing code.
A curated collection of machine learning resources, examples, and experiments for creative coding and education.
High-level TensorFlow network definitions with pre-trained weights for easy integration into existing ML workflows.
A TensorFlow implementation of QANet for machine reading comprehension on the SQuAD dataset.
A pretrained modeling library for Keras 3 offering simple, flexible, and fast access to models for text, image, and audio tasks.
A lightweight TensorFlow library for training and evaluating Generative Adversarial Networks (GANs).
GPU-accelerated audio preprocessing layers for Keras/TensorFlow, enabling real-time audio feature extraction within neural networks.
A uniform interface to run deep learning models from multiple frameworks like TensorFlow, PyTorch, and Keras in C++ and Python.
A strongly-typed Scala API for TensorFlow, providing functionality similar to the official Python API with additional features.
An open-source simulator for experimenting with and advancing self-driving AI, accessible to anyone with a PC.
TensorFlow implementation of an attention-based neural image caption generator that focuses on relevant image parts while generating words.
TensorFlow implementation of unsupervised cross-domain image generation for transferring images between domains like SVHN to MNIST.
Convert PyTorch models to Keras (TensorFlow backend) for deployment and interoperability.
A minimal 200-line implementation of a sequence-to-sequence chatbot using TensorLayer and TensorFlow.
A Ruby API for TensorFlow, enabling machine learning and deep learning within Ruby applications.
A CNN-based captcha solver for Taiwan Railway booking website with a training set generator that mimics captcha style and uses data augmentation.
A transfer learning-based evaluation metric for Natural Language Generation that scores text fluency and meaning.
A TensorFlow implementation for generating semantically segmented bird's eye view images from multiple vehicle-mounted cameras using a Sim2Real deep learning approach.
A scalable library for exploring, validating, and monitoring machine learning data, integrated with TensorFlow and TFX.
TensorFlow implementation of character-aware neural language models using CNN, highway networks, and LSTM.
TensorFlow implementation of arbitrary order (≥2) Factorization Machines for classification and regression tasks.
TensorFlow binding for Apache Spark DataFrames, enabling TensorFlow program execution on Spark data.
A Siamese neural network for LiDAR-based loop closing and localization by predicting scan overlap and relative yaw angle.
An open-source machine learning system for training autonomous RC cars using computer vision and neural networks.
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.