kibromhft Goto Github PK

adanet

Fast and flexible AutoML with learning guarantees.

bayesian_cnn_continuallearning

Interpreting Bayesian inference as continual learning with a CNN

coding-interview-university

A complete computer science study plan to become a software engineer.

colah.github.io

convolutional_neural_networks

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cse-resources

A collection of curated resources for learning Computer Science subjects and skills, that I garnered throughout my tenure as a CSE student. Contributions, and report of broken links are welcome.

csgraduateapps

A repository for compiling graduate application materials for prospective computer science graduate students (Masters & PhD).

datasciencecoursera

datasharing

The Leek group guide to data sharing

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-training-gui

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

deep_learning_nn

densenet

DenseNet implementation in Keras

dragonfly

An open source python library for scalable Bayesian optimisation.

ethiopian-date-converter

exploratory-data-analysis-course-project-1

exploratory-data-analysis-course-project-2

Peer-graded Assignment: Course Project 2

getting-and-cleaning-data-course-project

Getting and Cleaning Data Course Project : From Week 4

glfm

General Latent Feature Modeling for Heterogeneous data

hornmt

Machine translation (MT) benchmark dataset for languages in the Horn of Africa.

ifdm

Code for the "infinite factorial dynamical model"

imanage

iManage is state of the art project management web app!

improving-deep-neural-networks

Improving Deep Neural Networks

indian-buffet-process

Python code that demonstrates how data generated from an IBP changes as you vary the process hyperparameters

kbrom.github.io

keras-contrib

Keras community contributions

kibromhft.github.io

mcmc_pydata_london_2019

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

mods_convnet

Code repository for the paper "Automatic diagnostics of tuberculosis using convolutional neural networks analysis of MODS digital images"