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A complete computer science study plan to become a software engineer.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
꼼꼼한 딥러닝 논문 리뷰와 코드 실습
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
ENet - A Neural Net Architecture for real time Semantic Segmentation
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Official implementation of the Generalized Wasserstein Dice Loss in PyTorch
{ 고퀄리티 :zap: 개발 컨텐츠 모음 }
데이터 사이언스를 공부하고 싶은 분들을 위한 글
주니어 개발자 채용 정보
Visualizing the the loss landscape of Fully-Connected Neural Networks
Semantic Segmentation with Pytorch-Lightning
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Machine Learning Experiments and Work
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
OpenMMLab Detection Toolbox and Benchmark
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch; Multi-GPU]
My first implementation of a neural network
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Top2Vec learns jointly embedded topic, document and word vectors.
Multiclass semantic segmentation using U-Net architecture combined with strong image augmentation
This repository contains code for a multiple classification image segmentation model based on UNet and UNet++
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.