tensorflow
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Repositories (1195)
TensorLayer 中文文档
Holistically-Nested Edge Detection
TensorFlow JS models for MIRNet for low-light💡 image enhancement
Convolutional neural networks for artistic style transfer.
Tensorflow's Fairness Evaluation and Visualization Toolkit
:notebook: DeepLearning and CV notes.
TensorFlow implementation of 'Attention Is All You Need (2017. 6)'
How to use TensorLayer
Custom Object Detection with TensorFlow
Gathers Python deployment, infrastructure and practices.
An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.
Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper
Tensorflow tutorial for various Deep Neural Network visualization techniques
Play Google Chrome's T-rex game with TensorFlow
Source code of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".
End-To-End Memory Network using Tensorflow
Curated Tensorflow code resources to help you get started with Deep Learning.
Research about Tensorflow
This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.
A Keras implementation of CenterNet with pre-trained model (unofficial)
TensorFlow implementation of "Simple Baselines for Human Pose Estimation and Tracking", ECCV 2018
Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code...
PyTorch dataset extended with map, cache etc. (tensorflow.data like)
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
Handwritten digits classification from MNIST with TensorFlow on Android; Featuring Tutorial!
The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.
Image Captioning using InceptionV3 and beam search
State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869
Integrate TensorFlow with CMake projects effortlessly
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
A simple effective ToolKit for short text matching
基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs
Official TensorFlow implementation of "PoseFix: Model-agnostic General Human Pose Refinement Network", CVPR 2019
RAdam implemented in Keras & TensorFlow
Various models and code (Manhattan LSTM, Siamese LSTM + Matching Layer, BiMPM) for the paraphrase identification task, specifically with the Quora Que...
Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBE...
Deep Learning Camp Jeju
Примеры для курса "Основы нейронных сетей"
A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks
Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'
Accelerating Deep Learning with Multiprocess Image Augmentation in Keras
Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask
Object tracking implemented with YOLOv3, Deep Sort and Tensorflow.
ByteNet for character-level language modelling
A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network...
Tensorflow implementation of the Restricted Boltzmann Machine
DIRT: a fast differentiable renderer for TensorFlow
《深入理解TensorFlow》项目代码与样章
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.