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ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
fast image augmentation library and easy to use wrapper around other libraries
This is code of book "Learn Deep Learning with PyTorch"
:mortar_board: Path to a free self-taught education in Computer Science!
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
A PyTorch implementation of EfficientNet
code for Holistically-Nested Edge Detection
https://www.kaggle.com/c/humpback-whale-identification
Lectures for INFO8010 - Deep Learning, ULiège
Code for 1st place solution in Understanding Clouds from Satellite Images Challenge.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Code, exercises and tutorials of my personal blog ! π
Repository for the free online book Machine Learning from Scratch (link below!)
Machine learning, in numpy
Practice your pandas skills!
Synthesizing and manipulating 2048x1024 images with conditional GANs
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
PyTorch implementations of Generative Adversarial Networks.
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
re-implementation of triplet loss and triplet mining strategies (batch all and batch hard)
Minimal PyTorch implementation of YOLOv3
PyTorch ,ONNX and TensorRT implementation of YOLOv4
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.