6146 Open source projects that are alternatives of or similar to Ternausnetv2

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

Kitware's system for 3D building reconstruction for the IARPA CORE3D program

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

Code for the Lovász-Softmax loss (CVPR 2018)

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

interactive notebooks from Planet Engineering

Generating automatic trimap through pixel dilation and strongly-connected-component algorithms

Implementation of different techniques to find insights from the satellite data using Python.

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Semantic image segmentation in Tensorflow

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.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Streaming over lightweight data transformations

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

Observations from Ian on successfully delivering data science products

Financial data reader

Jupyter notebooks for learning how to use SimpleITK

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Python Quick Reference

A couple of simple GANs in Keras

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval

用keras实现OCR定位、识别

Computations and statistics on manifolds with geometric structures.

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

Simple XLNet implementation with Pytorch Wrapper

Simple tutorials for building neural networks with TensorFlow Eager mode.

Automatically generate headlines to short articles

Code base for the Learning PySpark book (in preparation)

Pangeo website + discussion of general issues related to the project.

A few notebooks about deep learning in pytorch

Scikit-learn tutorial at SciPy2016

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

A self driving toy car using end-to-end learning

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

Hands-On Reinforcement Learning with Python, published by Packt

A repository containing tutorials for practical NLP using PyTorch

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

Medical Q&A with Deep Language Models

Solutions to all quiz and all the programming assignments!!!

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

【运筹OR帷幄|数据科学】pandas教程系列电子书

A collection of notebooks for Natural Language Processing from NLP Town

Tutorials and information on the Julia language for MIT numerical-computation courses.

Practical Examples for RNNs in Tensorflow

主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。

Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics

Code for some of my tutorials