msshazlynaszemi
Master of Science (MSc) in Information Technology l B. Tech (Hons) Business Information System
PETRONAS University of Technology
msshazlynaszemi's Stars
saadpasta/developerFolio
🚀 Software Developer Portfolio Template that helps you showcase your work and skills as a software developer. (This is currently not being actively maintained)
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
ahmedfgad/GeneticAlgorithmPython
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
uber-research/deep-neuroevolution
Deep Neuroevolution
CodeReclaimers/neat-python
Python implementation of the NEAT neuroevolution algorithm
SkalskiP/ILearnDeepLearning.py
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
handcraftsman/GeneticAlgorithmsWithPython
source code from the book Genetic Algorithms with Python by Clinton Sheppard
BuckyMaler/global
HTML5 website template
designmodo/html-website-templates
Free static HTML website templates created using the Slides - https://designmodo.com/slides/
pierpaolo28/Data-Visualization
Collection of interactive Jupiter Notebook widgets and graphs.
bowenbaker/metaqnn
farhanchoudhary/Machine_Learning_A-Z_All_Codes_and_Templates
All codes, both created and optimized for best results from the SuperDataScience Course
howardyclo/NTHU-Machine-Learning
NTHU EE6550 Machine Learning slides and my code solutions for spring semester 2017.
offbit/evo-design
Code for my blog post "Design by Evolution"
MITAutoML/accelerating_nas
Repository for "Accelerating Neural Architecture Search using Performance Prediction" (ICLR Workshop 2018)
subpath/neuro-evolution
Wrapper for neural evolution approach for hyperparameter tuning
neelindresh/NeelBlog
Contains the code and csv from my blog
dgrubis/NBA-Draft-Model-2018
Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.
csteed/eden
The Exploratory Data analysis ENvironment is an interactive data exploration tool for hypervariate data.
chocolocked/hyperband
Hyerparameter Optimization for PyTorch
bowenbaker/pylearningcurvepredictor
predicting learning curves in python
DianaGao/Support-Vector-Regression
Predict the compensation base on the position level using the SVR machine learning model.
haojing9058/Comparison-of-Regression-Machine-Learning-Algorithms-of-Explaining-Students-Academic-Performance
amanraj209/CIFAR10_Models
iwiwi/darkopt
Gray-box automatic hyper-parameter optimization for machine learning
jacopofar/jupyter_notebooks
Jupyter notebooks
kodekarim/Regression
machine learning regression
Octavian-ai/learning-rates-cifar10
Testing the affect of different learning rates on the CIFAR 10 task
chahatdeep/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
chahatdeep/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!