Tensorflow
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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 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.
A library for building high-performance custom human pose estimation applications with real-time inference and flexible model development.
A library for evaluating TensorFlow models on large datasets with distributed computation and slicing analysis.
A Python library for 2D/3D object detection and instance segmentation in microscopy images using star-convex shapes.
A high-level builder API for TensorFlow that enables fluent, chainable neural network construction.
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.
OpenAI Gym environments and tools for training a 3D-printed quadruped robot (SpotMicro) using reinforcement learning.
A 3D segment-based mapping library for robot localization, environment reconstruction, and semantics extraction using LiDAR data.
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 pretrained modeling library for Keras 3 offering simple, flexible, and fast access to models for text, image, and audio tasks.
A TensorFlow implementation of QANet for machine reading comprehension on the SQuAD dataset.
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.
Convert PyTorch models to Keras (TensorFlow backend) for deployment and interoperability.
TensorFlow implementation of unsupervised cross-domain image generation for transferring images between domains like SVHN to MNIST.
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.
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