Pinned Repositories
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.
Multiple-CXRdisease-detection
Tikur_ChestX-ray14
kibromhft's Repositories
kibromhft/Multiple-CXRdisease-detection
kibromhft/Tikur_ChestX-ray14
kibromhft/adanet
Fast and flexible AutoML with learning guarantees.
kibromhft/coding-interview-university
A complete computer science study plan to become a software engineer.
kibromhft/colah.github.io
kibromhft/Convolutional_Neural_Networks
kibromhft/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.
kibromhft/csGraduateApps
A repository for compiling graduate application materials for prospective computer science graduate students (Masters & PhD).
kibromhft/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng on Coursera.
kibromhft/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.
kibromhft/Deep_Learning_NN
kibromhft/DenseNet
DenseNet implementation in Keras
kibromhft/dragonfly
An open source python library for scalable Bayesian optimisation.
kibromhft/ethiopian-date-converter
kibromhft/GLFM
General Latent Feature Modeling for Heterogeneous data
kibromhft/HornMT
Machine translation (MT) benchmark dataset for languages in the Horn of Africa.
kibromhft/Improving-Deep-Neural-Networks
Improving Deep Neural Networks
kibromhft/keras-contrib
Keras community contributions
kibromhft/kibromhft.github.io
kibromhft/mcmc_pydata_london_2019
PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
kibromhft/NIH-Chest-X-ray-Pathology-Detection
kibromhft/oracle-scripts-1
Cool scripts for Oracle I use in my everyday life
kibromhft/osTicket
The osTicket open source ticketing system official project repository, for versions 1.8 and later
kibromhft/precision-medicine-toolbox
Precision medicine toolbox
kibromhft/programming-talks
Awesome & interesting talks about programming
kibromhft/R
This repository contains my R self development scripts
kibromhft/research-contributions
Implementations of recent research prototypes/demonstrations using MONAI.
kibromhft/staeiou.github.io
Github pages
kibromhft/tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
kibromhft/tutorials
PyTorch tutorials.