mojeedoyedeji Goto Github PK

awesome-healthcare-ai

A curated list of awesome open source healthcare tools, algorithms, datasets and research papers.

awesome-ml-fairness

Papers and online resources related to machine learning fairness

basic-gaussian-process-on-tensorflow

Basic implementation of Gaussian Process Regression on Tensorflow, with simple visualization.

bchiang7.github.io

Third iteration of my personal website built with Jekyll

blog

brits

can

CAN dataset

cnn-load-forecasting

Implementation of Electric Load Forecasting Based on CNN.

cnn-medical-imaging-analysis

This project has the aim to detect abnormality in mammography, using a CNN trained from scratch, a pretrained CNN and an Ensamble methodology to notice any improvements

cnn-svr

CNN-SVR: A deep learning approach for predicting CRISPR/Cas9 guide RNA on-target activity

cnn_augmentation

CNN with data augmentation for Residential load forecasting

cnnoptimization

Using Particle Swarm Optimization (PSO) to Optimize a CNN (Convulsional Neural Network) - using an simple dataset (not using an image dataset)

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

concretein_inpection_vggf

Concrete Crack and Spalling Detection using Deep Neural Network

cpo-price-forecasting-using-simulated-annealing-based-support-vector-regression

Hyperparameter optimization of Support Vector Regression (SVR) using a metaheuristic algorithm, Simulated Annealing (SA) applied in crude palm oil price prediction

crack_detection_cnn_masonry

This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning" by D. Dais, İ. E. Bal, E. Smyrou, and V. Sarhosis published in "Automation in Construction".

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

dgga-cnn

digital_healthcare

electronic health records on blockchain

dstagnn

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.

earlysepsisprediction

Early Prediction of Sepsis from Clinical Time Series Data

egan

envoy

fairdisco

federated

A framework for implementing federated learning

federatedml

A collection of Google research projects related to Federated Learning and Federated Analytics.

gan-debiasing

Fair Attribute Classification through Latent Space De-biasing (CVPR 2021)

gaussian-processes-regression-tutorial

An Intuitive Tutorial to Gaussian Processes Regression

gaussianprocesses

Python3 project applying Gaussian process regression for forecasting stock trends