TensorFlow

More TensorFlow tutorials

A collection of TensorFlow tutorials covering basics to advanced neural network architectures with Python code and notebooks.

TensorFlow tutorials

A collection of simple tutorials introducing deep learning concepts using Google's TensorFlow framework.

TensorFlow Tutorial 3

A collection of beginner-friendly TensorFlow tutorials with accompanying YouTube videos covering deep learning fundamentals and advanced topics.

TensorFlow Python Notebooks

A comprehensive collection of TensorFlow tutorials and examples for beginners, covering both TF v1 and v2 with clear explanations.

Sungjoon's TensorFlow-101

A collection of beginner-friendly TensorFlow tutorials using Jupyter Notebook, covering deep learning fundamentals and practical applications.

Installing TensorFlow on Raspberry Pi 3

Official TensorFlow Python wheels for Raspberry Pi, enabling machine learning on edge devices.

Classification on raw time series in TensorFlow with a LSTM RNN

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

Effective Tensorflow

A comprehensive guide to TensorFlow 2.x covering fundamentals, best practices, and advanced topics for efficient machine learning development.

Tensorflow-Project-Template

A TensorFlow project template with a well-designed folder structure and OOP design to accelerate deep learning development.

Neural Style

A TensorFlow implementation of neural style transfer for images and videos, blending content and artistic styles using convolutional neural networks.

SRGAN

Implementation of SRGAN for photo-realistic single image super-resolution using generative adversarial networks.

Neural Style

A TensorFlow implementation of neural style transfer that transforms images by applying artistic styles from one image to another.

Chatbot

A TensorFlow implementation of a neural conversational model (seq2seq) for building deep learning chatbots.

Colornet - Neural Network to colorize grayscale images

A neural network that automatically adds color to grayscale images using deep learning techniques.

DQN-tensorflow

TensorFlow implementation of Deep Q-Networks (DQN) for human-level control in reinforcement learning environments.

Policy Gradient

A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers, offering customizable neural layers.

Sentence Classification with CNN

A TensorFlow implementation of a convolutional neural network for sentence classification based on Yoon Kim's paper.

YOLO TensorFlow ++

A TensorFlow implementation of YOLO for real-time object detection, supporting weight conversion, training, and mobile deployment.

Wavenet

A TensorFlow implementation of DeepMind's WaveNet neural network for generating raw audio waveforms.

Kubeflow

A composable, modular, and scalable machine learning toolkit for building AI platforms on Kubernetes.

YOLO TensorFlow

TensorFlow implementation of YOLO for real-time object detection using pretrained YOLO_small, YOLO_tiny, and YOLO_face models.

Magenta

A research project exploring machine learning for generating music, images, and art using deep learning and reinforcement learning.

tflearn

A modular deep learning library providing a higher-level API for TensorFlow to speed up experimentation.

TensorLayer

A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers with customizable neural layers.

TensorForce - A TensorFlow library for applied reinforcement learning

A modular TensorFlow library for applied reinforcement learning with a focus on flexible design and practical usability.

TensorFlowOnSpark

Enables distributed TensorFlow training and inferencing on Apache Spark and Hadoop clusters with minimal code changes.

Proof of concept for loading Caffe models in TensorFlow

Convert Caffe deep learning models to TensorFlow format for deployment and inference.

keras-js

Run trained Keras models directly in the browser with GPU acceleration via WebGL.

Sonnet - a library for constructing neural networks by Google's DeepMind

A TensorFlow 2 library providing simple, composable abstractions for machine learning research via the snt.Module concept.

tensorpack

A high-performance neural network training interface for TensorFlow focused on speed, flexibility, and reproducible research.

StellarGraph

A Python library for machine learning on graphs and networks, offering state-of-the-art algorithms for tasks like node classification and link prediction.

Speedster

A collection of libraries to optimize AI model performance through inference, infrastructure, and fine-tuning techniques.

ML Workspace

A web-based IDE for machine learning and data science with pre-installed libraries and tools, deployable via Docker.