tensorflow

MLOps for AWS SageMaker

Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm

FedScale is a scalable and extensible open-source federated learning (FL) platform.

A car detection model implemented in Tensorflow.

Some deep learning based recsys for open learning.

a toolkit for pose estimation using deep learning

A Abstractive Summarization Implementation with Transformer and Pointer-generator

TensorFlow 中文教程 (Chinese Tutorials)

speech emotion recognition using a convolutional recurrent networks based on IEMOCAP

🎆 A visualization of the CapsNet layers to better understand how it works

An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI

TensorFlow implementation of original paper : https://github.com/hszhao/PSPNet

Accompanying repository for Let's make a DQN / A3C series.

🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider...

Phoneme multilingual(Russian-English) voice cloning based on

This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation u...

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Visualize Tensorflow's optimizers.

CTR模型代码和学习笔记总结

tensorflow学习笔记，来源于电子书：《Tensorflow实战Google深度学习框架》

Sequence to sequence learning using TensorFlow.

Build environment and train a robot arm from scratch (Reinforcement Learning)

Reimplementation of CycleGAN

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

A Tensorflow Tiny Face Detector, implementing "Finding Tiny Faces"

ShuffleNet Implementation in TensorFlow

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

Tensorflow implementation of CycleGAN

Facial Expression Recognition with a deep neural network as a PyPI package

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in p...

Convert tf.keras/Keras models to ONNX

The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local envir...

This is a re-implementation of Siamese-RPN with pytorch, which is CVPR2018 spotlight.

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

Generic framework for historical document processing

Machine learning models for time series analysis

A workshop for scientific computing in Python. ( December 2017 )

Face recognition system for ID photos

https://www.nytimes.com/2018/03/15/nyregion/bike-lane-blocked-new-york.html

An intuitive approach to creating deep learning models

Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI

✍🏻 gpt2-client: Easy-to-use TensorFlow Wrapper for GPT-2 117M, 345M, 774M, and 1.5B Transformer Models 🤖 📝

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

Little More Advanced TensorFlow Implementations

Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet

Learning to track eye movement in the browser

DexiNed: Dense EXtreme Inception Network for Edge Detection

Full pipeline for TianChi FashionAI clothes keypoints detection compitetion in TensorFlow

:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"