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Name: Samuel
Type: User
Company: University of North Carolina
Location: Chapel Hill
Name: Samuel
Type: User
Company: University of North Carolina
Location: Chapel Hill
A mindmap summarising Deep Learning concepts.
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
《跟我一起深度学习》
The deeplearning algorithms implemented by tensorflow
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
This repository contains implementations and illustrative code to accompany DeepMind publications
Deep networks for Earth Observation
Modularized Implementation of Deep RL Algorithms in PyTorch
Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298
Neural network inference engine that delivers GPU-class performance for sparsified models on CPUs
Animal tracking from overhead using YOLO
PyTorch deep learning framework for video compressive sensing.
Implementation related to the Deep Complex Networks
Repo for "Can GCNs Go as Deep as CNNs?"
A paper list of object detection using deep learning.
Deep Metric Learning
Deformable Convolutional Networks
DehazeNet: An End-to-End System for Single Image Haze Removal
Official DeiT repository
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
Tools for DEtectiNg and Tracking Infrared Small Target (DENTIST)
Depth-aware CNN for RGB-D Segmentation, ECCV 2018
A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)
Implementation code of the paper "Deep Fully Convolutional Regression Networks for Single Image Haze Removal"
PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models
DGN Code
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.