6066 Open source projects that are alternatives of or similar to Unet Segmentation In Keras Tensorflow

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Generating Captions for images using Deep Learning

Music recommender using deep learning with Keras and TensorFlow

High Quality Monocular Depth Estimation via Transfer Learning

Pruning and other network surgery for trained TF.Keras models.

Introduction to Deep Neural Networks with Keras and Tensorflow

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

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

A End to End CNN Model which predicts the steering wheel angle based on the video/image

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Примеры для курса "Программирование глубоких нейронных сетей на Python"

A Tutorial for Serving Tensorflow Models using Kubernetes

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

Generic U-Net Tensorflow 2 implementation for semantic segmentation

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Discuss requirments and develop code for #1-mvp-vbacc MVP (see also this channel on ossdc.org Slack)

Fined grained classification On Car dataset

Library of Stan Models for Survival Analysis

主要展示Datawhale的组队学习计划。

Yet another black-box optimization library for Python

Montréal Deep Learning Summer School 2016 material

Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.

The code includes all the file that you need in the training stage for FCN

Deep Neural Decision Trees

This is the code for the "How to Make an Image Classifier" - Intro to Deep Learning #6 by Siraj Raval on Youtube

bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.

Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma

Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.

My IPython Notebooks

Real-Time Object Pose Estimation with Pose Interpreter Networks (IROS 2018)

This is the code for "K-Means Clustering - The Math of Intelligence (Week 3)" By SIraj Raval on Youtube

Satellite data processing experiments

A Box detection algorithm for any image containing boxes.

机器学习、深度学习、自然语言处理、计算机视觉等AI领域相关技术的算法推导及应用

Examples on how to use the alpha vantage library

Docker file for building Gen and Jupyter notebooks for tutorials and case studies

Neural networks from scratch

INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks

《动手学深度学习》 PyTorch 版本

Explore and download data from Census APIs

Introductory Python Series for UC Berkeley's D-Lab

Collection of workshops to demonstrate best practices in using Amazon EC2 Spot Instances. https://aws.amazon.com/ec2/spot/

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

A collection of materials to help you learn about deep learning