fuzzywuzzy

Fuzzy String Matching in Python

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

gather-tensorflow-serving

Gather how to deploy tensorflow models as much I can.

generative-adversarial-networks-gans-specialization

Deeplearning.AI Generative Adversarial Networks (GANs) Specialization Solution

generative-models

Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.

glue

Linked Data Visualizations Across Multiple Files

gradio

Create UIs for prototyping your machine learning model in 3 minutes

graphical-lasso-in-finance

Implementations of the graphical lasso method to estimation of covariance matrices in finance.

grid-lstm

Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf

gtsrb.torch

Traffic sign recognition with Torch

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)

harvard-ph526x-using-python-for-research

Beginner Python course from Harvard University on edX

harvardx-using-python-for-research

hiplot

HiPlot makes understanding high dimensional data easy

imagenet-multigpu.torch

an imagenet example free of fbcunn dependencies in torch.

imagenet-training

ImageNet training using torch

imagenetloader.torch

some old code that i wrote, might be useful to others

implicit

Fast Python Collaborative Filtering for Implicit Datasets

inception-v3.torch

Rethinking the Inception Architecture for Computer Vision

info8010-deep-learning

Lectures for INFO8010 - Deep Learning, ULiège

install-opencv

shell scripts to install different version of OpenCV in different distributions of Linux

introduction-to-matlab-octave-and-numerical-methods-for-engineers

Solutions to the Exercises from "An Introduction to MATLAB and Numerical Methods for Engineers." by Timmy Siauw and Alexandre M. Bayen

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

ipynb_playground

Various ipython notebooks

ipython-sql

%%sql magic for IPython, hopefully evolving into full SQL client

kaggle-cifar10-torch7

Code for Kaggle-CIFAR10 competition.

kaggle-dogs-vs-cats

Code for Kaggle Dovs vs. Cats competition http://www.kaggle.com/c/dogs-vs-cats

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

karpathy.github.io

my blog