Top 105 tensorflow2 open source projects

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

Implementation of the paper "YOLACT Real-time Instance Segmentation" in Tensorflow 2

Tensorflow2 Object Detection APIのハンズオン用資料です(Hands-on documentation for the Tensorflow2 Object Detection API)

transformer in tensorflow 2.0

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

UnitBox: An Advanced Object Detection Network

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

基于Tensorflow2开发的优秀扩展包及项目

IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

A face mask detection using ssd with simplified Mobilenet and RFB or Pelee in Tensorflow 2.1. Training on your own dataset. Can be converted to kmodel and run on the edge device of k210

Improved TabNet for TensorFlow

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

Русскоязычный чат-бот для Discord на архитектуре Transformer

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

2019北京大学软件与微电子学院曹健老师的《人工智能实践》作业，有完整的注释,欢迎提出issue以及request

🐳 GAN implemented as Tensorflow 2.X

TensorFlow2+ graph image augmentation library optimized for tf.data.Dataset.

This project presents a simple framework to retrieve images similar to a query image.

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

TF2 implementation of PointNet for segmenting point clouds

Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.

Working golang + tensorflow

Potato Disease Classification - Training, Rest APIs, and Frontend to test.

熊猫识别不定长验证码,基于tensorflow2.2(tensorflow2.3也可以运行)轻松就能练出不错的模型

Generative Adversarial Networks in TensorFlow 2.0

Address book for computer vision models.

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

A tensorflow_2.0 implementation of SSD (Single Shot MultiBox Detector) .

The official code repository for "TensorFlow in Action" by Manning.

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

This repository shows how to train a custom detection model with the TFOD API, optimize it with TFLite, and perform inference with the optimized model.

TensorFlow 2.0 implementation of MAML.

Training neural networks in TensorFlow 2.0 with 5x less memory

Build English-Vietnamese machine translation with ProtonX Transformer. :D

State of the Art Neural Networks for Deep Learning

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

TensorFlow Lite Model Makerで物体検出を行うハンズオン用資料です(Hands-on for object detection with TensorFlow Lite Model Maker)

This repo aims to contain different machine learning use cases along with the descriptions to the model architectures

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.

tensorflow 2.0 正式版实用教程/tutorial