fegonda Goto Github PK
Type: User
Bio: Ph.D student at Harvard University. School of Engineering and Applied Sciences
Blog: www.felixgonda.com
Type: User
Bio: Ph.D student at Harvard University. School of Engineering and Applied Sciences
Blog: www.felixgonda.com
Automated shapeshifting for function recovery in damaged robots.
Learning Descriptor Networks for 3D Shape Synthesis and Analysis
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
fast image augmentation library and easy to use wrapper around other libraries
:books: Awesome CS Books/Series(.pdf by git lfs) Warehouse, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档
Axon/Myelin segmentation using Deep Learning
Segment axon and myelin from microscopy data. Written in Python.
Brainhack Boston
C3D is a modified version of BVLC caffe to support 3D ConvNets.
Caffe: a fast open framework for deep learning.
A camera control for three.js, similar to THREE.OrbitControls yet supports smooth transitions and more features.
An open-source application for biological image analysis
[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..
Classification models trained on ImageNet. Keras.
Some code and tests I wrote while working through Toby Segaran's book
Convolutional LSTM for video segmentation with Keras
Using convlstm to prediction moving mnist dataset.
Self-supervised Learning for Video Correspondence Flow (BMVC Oral)
Consistent Recurrent Neural Networks
Assignment Solutions to Coursera CS-229 Machine Learning by Stanford
Released assignments for the fall 2017 iteration of CS131.
Notes for Jan Erik Solem's "Programming Computer Vision with Python" book
Force Directed Edge Bundling (FDEB) in Javascript; d3.js ready. (https://www.win.tue.nl/vis1/home/dholten/papers/forcebundles_eurovis.pdf)
Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)
Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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.