smartmaterialssfedu Goto Github PK
Name: SmartMaterialsSFedU
Type: User
Company: Southern Federal University
Location: Rostov-on-Don
Blog: nano.sfedu.ru
Name: SmartMaterialsSFedU
Type: User
Company: Southern Federal University
Location: Rostov-on-Don
Blog: nano.sfedu.ru
A resource repository for 3D machine learning
Roadmap to becoming an Artificial Intelligence Expert in 2022
Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation
A curated list of publication for depth estimation
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Essential deep learning algorithms, concepts, examples and visualizations with TensorFlow. Popular and custom neural network architectures. Applications of neural networks.
A collection of various deep learning architectures, models, and tips
Data analysis and deeep leargining in chemoinformatics for finding new functional materials
Deep Learning with Catalyst
Repository for storing and tracking my self-study progress.
PCL Library Tutorial 작성 중
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
Resources for "Introduction to Deep Learning" course.
Python UDP broadcast IP discovery
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Learning to create Machine Learning Algorithms
Mastering Pandas Second Edition, published by Packt
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"
Codes for the NUS_AMD_workshop
OPC UA simulation server written in Python, which sends out 3 values from a real data set
OpenCV Sample Code in C++
OpenDS4All project, hosted by LF AI & Data
Predictive Soil Mapping with R (book)
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Python Data Science Handbook: full text in Jupyter Notebooks
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.