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caption-america

Automatically generate image captions like a hero!

caption-guided-saliency

Supplementary material to "Top-down Visual Saliency Guided by Captions" (CVPR 2017)

cbp

Multimodal Compact Bilinear Pooling for Torch7

chatbot-from-movie-dialogue

Built a simple chatbot from a sequence-to-sequence model with TensorFlow.

cleverhans

A library for benchmarking vulnerability to adversarial examples

cmn

Code release for Hu et al. Modeling Relationships in Referential Expressions with Compositional Modular Networks. in CVPR, 2017

cmsc216

A Place I'll put notes

cmsc722-knw

cnn-benchmarks

Benchmarks for popular CNN models

cnn-for-image-retrieval

:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

cocostuff

The official homepage of the COCO-Stuff dataset.

collage

Convert pdfs to jpg collages

content

Official content for Harvard CS109

convdiclearntensorfactor

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.

convlstm

convnet

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'.

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

coursera-dl

Script for downloading Coursera.org videos and naming them.

coursera-dl-1

Ruby script to download coursera lectures.

coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

courses

fast.ai Courses

cp-decomposition

cracking-the-coding-interview

Solutions for the book: Cracking the coding interview V4. Written in C++.

cracking_the_coding_interview

C++ Solutions to Cracking the Coding Interview, 5th Edition

crayon

A language-agnostic interface to TensorBoard

create_tfrecords

A simpler way of preparing large-scale image dataset by generalizing functions from TensorFlow-slim

cs224d-assignments

My answers to the assignments to Stanford's NLP Course CS 224D

cs224n-assignments

Standford NLP with deep learning solved assignments.

cs294-112

cs294_s2s

Evaluating sequence to sequence neural translation models for CS294-129