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Name: Lei He
Type: User
Bio: Lei is currently a PhD candidate from CASIA. His research interests include computer vision, machine learning, and pattern recognition.
Name: Lei He
Type: User
Bio: Lei is currently a PhD candidate from CASIA. His research interests include computer vision, machine learning, and pattern recognition.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Tutorial básico de uso de TensorFlow
Code release for the ECCV 2016 paper
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Models and examples built with TensorFlow
Unsupervised single image depth prediction with CNNs
Real-time Joint Semantic Reasoning for Autonomous Driving
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
Multi-view 3D Models from Single Images with a Convolutional Network
Code release for "Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction"
MVSNet: Depth Inference for Unstructured Multi-view Stereo (ECCV2018, Oral Presentaion)
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Code samples for my book "Neural Networks and Deep Learning"
An Interactive Opencv Installer for Ubuntu 16.04 LTS
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
Pyramid Scene Parsing Network
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
Python tools for working with KITTI data.
RefineNet: Multi-Path Refinement Networks with Identity Mappings for High-Resolution Semantic Segmentation
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image
A tensorflow implemenation of Christian et al's SRGAN(super-resolution generative adversarial network)
Neural Network with Style Synthesis
subpixel: A subpixel convnet for super resolution with Tensorflow
Computation using data flow graphs for scalable machine learning
TensorFlow tutorials and code examples for beginners
An Implementation of Fully Convolutional Networks in Tensorflow.
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
ResNet model in TensorFlow
Simple tutorials using Google's TensorFlow Framework
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.