110 Open source projects that are alternatives of or similar to Training-BatchNorm-and-Only-BatchNorm

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

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

Русскоязычный чат-бот для Discord на архитектуре Transformer

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

MXNet Code For Demystifying Neural Style Transfer (IJCAI 2017)

Improved TabNet for TensorFlow

TensorFlow 2.0 implementation of MAML.

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.

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

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

Working golang + tensorflow

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

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

Address book for computer vision models.

Win probability predictions for League of Legends matches using neural networks

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

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

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

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.

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

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

Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"

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

Sandbox for training deep learning networks

MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

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

😝 TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

基于Tensorflow2开发的优秀扩展包及项目

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

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

Generative Adversarial Networks in TensorFlow 2.0

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

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.

🌈 Spectral Normalization implemented as Tensorflow 2

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

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

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.

transformer in tensorflow 2.0

Training neural networks in TensorFlow 2.0 with 5x less memory

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

State of the Art Neural Networks for Deep Learning

Tensorflow 2.0 implementation of Deep Autoregressive Models

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)

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

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.

UnitBox: An Advanced Object Detection Network

tensorflow 2.0 正式版实用教程/tutorial

🐳 GAN implemented as Tensorflow 2.X

My workshop on machine learning using python language to implement different algorithms

This is a fork of caffe added some useful layers, the original caffe site is https://github.com/BVLC/caffe.

一个可以自己进行训练的中文聊天机器人， 根据自己的语料训练出自己想要的聊天机器人，可以用于智能客服、在线问答、智能聊天等场景。目前包含seq2seq、seqGAN版本、tf2.0版本、pytorch版本。

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

deep learning for image processing including classification and object-detection etc.

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

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

Farm Animal Tracking (FAT)

FedGroup, A Clustered Federated Learning framework based on Tensorflow

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

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.

TF2 implementation of PointNet for segmenting point clouds