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Name: zmj
Type: User
Bio: Postdoc @ Yale University
Location: New Haven, CT, US
Name: zmj
Type: User
Bio: Postdoc @ Yale University
Location: New Haven, CT, US
Some advanced keras usage, like self-defined layer, seq_to_seq, unpooling, crf...
algorithms about data structure
attention mechanism in keras, like Dense and RNN...
:books: List of awesome university courses for learning Computer Science!
A cuda tutorial for beginners based on 'CUDA By Example an Introduction to General Purpose GPU Programming'.
This repo includes Unet, Spatial CNN (S-CNN) and VPNet for lane segmentation, and YOLO, Faster-RCNN, Stereo-RCNN for vehicle detection.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
deeplabv3plus (Google's new algorithm for semantic segmentation) in keras:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Google's DeepLearning tutorials from udacity
Face recognition based on facenet with several networks as backends
Filtered Backprojection Algorithm for CT images reconstruction under parallel projections
graph cut applied in semantic segmentation
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
build an algorithm that automatically detects potential pneumonia cases
Statoil/C-CORE Iceberg Classifier Challenge's codes
keras implementation of A Discriminative Feature Learning Approach for Deep Face Recognition based on MNIST
Some basic examples with keras
implement Kervolutional Neural Networks (CVPR, 2019) and compare with CNN under the white box attack
sin(x) function fitting using LSTM
some medical data's description
semantic segmentation task on nuclei images
OpenCV问答群1,QQ群号:187436093
code from "Machine Learning in Python:Essencial Techniques for Predictive Analysis"
Dataset from 'Protein Interface Prediction using Graph Convolutional Networks'; GCN algorithm from 'SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS'
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.