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Name: Dhanesh Ramachandram
Type: User
Company: Vector Institute
Bio: Deep Learning Researcher
Location: Toronto
Blog: https://scholar.google.ca/citations?user=0nVlbNgAAAAJ&hl=en
Name: Dhanesh Ramachandram
Type: User
Company: Vector Institute
Bio: Deep Learning Researcher
Location: Toronto
Blog: https://scholar.google.ca/citations?user=0nVlbNgAAAAJ&hl=en
Abseil Common Libraries (C++)
Action recognition using soft attention based deep recurrent neural networks
Entry for ICLR 2018 Reproducibility Challenge
fast image augmentation library and easy to use wrapper around other libraries
Automatic colorizaton of grayscale images using Deep Learning
Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis
Code for a convolutional autoencoder written on python, theano, lasagne, nolearn
Types and functions that make it a little easier to work with Core ML in Swift.
Pytorch implementation of CoxNAM model.
Tensorflow implementation of CRF-RNN
Cracking the Coding Interview 6th Ed. Python Solutions
# Deep Learning with Keras
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.
Tensorflow implementation of deformable convnet on MNIST
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
TensorFlow documentation
Embedded and mobile deep learning research resources
RNN/LSTM auto encoder with sequence learning approaches
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015.
Font files available from Google Fonts
Graph kernels
Graph kernels...
Graph similarity algorithms based on NetworkX.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Hyerparameter Optimization for PyTorch
Convolutional computer vision architectures that can be tuned by hyperopt.
Hyperparameter optimization for neural networks
Implementation of "Context Encoders: Feature Learning by Inpainting"
Deeplab-resnet-101 in Pytorch with Jaccard loss
Javascript image annotation tool based on image segmentation.
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.