peratham Goto Github PK
Name: Peratham Wiriyathammabhum
Type: User
Company: University of Maryland
Name: Peratham Wiriyathammabhum
Type: User
Company: University of Maryland
Automatically generate image captions like a hero!
Supplementary material to "Top-down Visual Saliency Guided by Captions" (CVPR 2017)
Multimodal Compact Bilinear Pooling for Torch7
Built a simple chatbot from a sequence-to-sequence model with TensorFlow.
A library for benchmarking vulnerability to adversarial examples
Code release for Hu et al. Modeling Relationships in Referential Expressions with Compositional Modular Networks. in CVPR, 2017
A Place I'll put notes
Benchmarks for popular CNN models
:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
The official homepage of the COCO-Stuff dataset.
Convert pdfs to jpg collages
Official content for Harvard CS109
Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independent component analysis and dictionary learning. Model parameters are estimated via CP decomposition of the observed higher order input moments. However, in many domains, additional invariances such as shift invariances exist, enforced via models such as convolutional dictionary learning. In this paper, we develop novel tensor decomposition algorithms for parameter estimation of convolutional models. Our algorithm is based on the popular alternating least squares method, but with efficient projections onto the space of stacked circulant matrices. Our method is embarrassingly parallel and consists of simple operations such as fast Fourier transforms and matrix multiplications. Our algorithm converges to the dictionary much faster and more accurately compared to the alternating minimization over filters and activation maps.
Convolutional Neural Networks for Matlab, including Invariang Backpropagation algorithm (IBP). Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Script for downloading Coursera.org videos and naming them.
Ruby script to download coursera lectures.
use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
fast.ai Courses
Solutions for the book: Cracking the coding interview V4. Written in C++.
C++ Solutions to Cracking the Coding Interview, 5th Edition
A language-agnostic interface to TensorBoard
A simpler way of preparing large-scale image dataset by generalizing functions from TensorFlow-slim
My answers to the assignments to Stanford's NLP Course CS 224D
Standford NLP with deep learning solved assignments.
Evaluating sequence to sequence neural translation models for CS294-129
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.