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Repo for reviewing 2017 Berkeley summer course in mining and modeling of neuroscience data.
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Black-Box Adversarial Attack on Public Face Recognition Systems
The classical papers and codes about generative adversarial nets
This repository is the implementation for ICLR 2019 paper "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA" by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.
Image augmentation library in Python for machine learning.
:metal: awesome-semantic-segmentation
The author's officially unofficial PyTorch BigGAN implementation.
Caffe: a fast open framework for deep learning.
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
An adversarial example library for constructing attacks, building defenses, and benchmarking both
CogDL: An Extensive Research Toolkit for Graphs
A technical report on convolution arithmetic in the context of deep learning
Differentiable architecture search for convolutional and recurrent networks
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Deep Convolutional Generative Adversarial Networks
Deep Residual Learning for Image Recognition
Densely Connected Convolutional Networks, In CVPR 2017 (oral presentation).
Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)
Improving Transferability of Adversarial Examples with Input Diversity
IQA: Deep Image Structure and Texture Similarity Metric
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks
This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)
end-to-end convolution regression model (ETECRM)
🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥
Face recognition using Tensorflow
Fully Convolutional DenseNets for semantic segmentation.
Fine-tuning an already learned model, adapts the architecture to other datasets
The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He.
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.