Top 3524 tensorflow open source projects

CNN for Chinese Text Classification in Tensorflow

Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow

A simple effective ToolKit for short text matching

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

🐝 A fast, easy and collaborative open source image annotation tool for teams and individuals.

a toolkit for pose estimation using deep learning

NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

🐸STT - a deep learning toolkit for Speech-to-Text, battle-tested in research and production

Spatially Adaptive Computation Time for Residual Networks

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

High-performance TensorFlow library for quantitative finance.

Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow

Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.

Toolkit to Hack Your Deep Learning Models

Wide and Deep Learning for CTR Prediction in tensorflow

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Tengine is a lite, high performance, modular inference engine for embedded device

DualGAN-tensorflow: tensorflow implementation of DualGAN

TensorFlow implementation of GoogLeNet and Inception for image classification.

React Native library for TensorFlow Lite

GPU accelerated deep learning inference applications for RaspberryPi / JetsonNano / Linux PC using TensorflowLite GPUDelegate / TensorRT

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

Implementation of Grad CAM in tensorflow

A tensorflow implementation of "Generating Sentences from a Continuous Space"

A guide to transfer learning with inception-resnet-v2.

Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)

Develop production ready deep learning code, deploy it and scale it

Tensorflow + Molecules = TensorMol

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Tensoflow implementation of InsightFace (ArcFace: Additive Angular Margin Loss for Deep Face Recognition).

PyTorch dataset extended with map, cache etc. (tensorflow.data like)

A simple, concise tensorflow implementation of fast style transfer

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘 、机器学习 、深度学习 、算法等。

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

A UI tool for quickly training image classifiers in the browser

📓 deepleaning and cv notes.

Crafting adversarial images

Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.

Bare bone examples of machine learning in TensorFlow

Code for Stanford CS224D: deep learning for natural language understanding

PoC code from DEF CON 25 presentation

Dilated CNNs for NER in TensorFlow

The project developed using TensorFlow to recognize the License Plate from a car and to detect the charcters from it.

SGPN:Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation, CVPR, 2018

Natural Language Processing with TensorFlow, published by Packt

Bayesian Reinforcement Learning in Tensorflow

Implement of Openpose use Tensorflow

full tensorflow implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks https://arxiv.org/abs/1806.02169

🏖 Easy training and deployment of seq2seq models.

Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow

This is a Tensorflow implementations of paper "Deep Alignment Network: A convolutional neural network for robust face alignment".

A Go playing program implemented in Tensorflow roughly according to the architecture of AlphaGo. Current strength is 3~4 amateur dan.

Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

DeepLab-LargeFOV implemented in tensorflow

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)