135 Open source projects that are alternatives of or similar to tfworldhackathon

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

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

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

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

Training neural networks in TensorFlow 2.0 with 5x less memory

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.

Generative Adversarial Networks in TensorFlow 2.0

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.

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

Repository for implementation of generative models with Tensorflow 1.x

Pure tensorflow implementation of progressive growing of GANs

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 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

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

🌈 Spectral Normalization implemented as Tensorflow 2

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

基于Tensorflow2开发的优秀扩展包及项目

Address book for computer vision models.

Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.

Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.

🔎 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.

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

State of the Art Neural Networks for Deep Learning

Русскоязычный чат-бот для Discord на архитектуре Transformer

🐳 GAN implemented as Tensorflow 2.X

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

UnitBox: An Advanced Object Detection Network

Pytorch Implementation of wavegan model to generate audio

FedGroup, A Clustered Federated Learning framework based on Tensorflow

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

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

TF2 implementation of PointNet for segmenting point clouds

Code for "Neural Tangent Generalization Attacks" (ICML 2021)

Working golang + tensorflow

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

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

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

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

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.

Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x

Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'

Improved TabNet for TensorFlow

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

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

Playing with MNIST. Machine Learning. Generative Models.

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

TensorFlow 2.0 implementation of MAML.

Farm Animal Tracking (FAT)

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

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

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

transformer in tensorflow 2.0

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

WIP Tensorflow implementation of https://github.com/mozilla/TTS

Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2

Tensorflow 2.0 implementation of Deep Autoregressive Models

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.

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