damarobe Goto Github PK

fundamentals-of-deep-learning-book

Code companion to the O'Reilly "Fundamentals of Deep Learning" book

generative-adversarial-networks-projects

Generative Adversarial Networks Projects, published by Packt

grugbm

high-per-parameter

A Large-Scale Study of Hyperparameter Tuning for Machine Learning Algorithms

hyperopt

Repo that relates to the Medium blog 'Using Bayesian Optimization to reduce the time spent on hyperparameter tuning'

hyperparameter-optimization-of-machine-learning-algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

improved-video-gan

GitHub repository for "Improving Video Generation for Multi-functional Applications"

industrial-machinery-anomaly-detection

Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder

introtodeeplearning

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

iros2012

Terrain classification code for "Performance analysis and terrain classification for a legged robot over rough terrain"

keras-hypetune

A friendly python package for Keras Hyperparameters Tuning based only on NumPy.

keras-music-generation

Generating music with deep learning and Keras

knowledge-graph

learning-forest-fires

Understanding the Kaggle dataset on forest fires.

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

lemurs-optimizer

lightctr-1

LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.

lmfe

Learning based Multi-scale Feature Engineering in Partial Discharge Detection

machine-learning

A repository of Jupyter/IPython notebooks with the slides and code examples for my machine learning class.

malicious-url-classification---ml

ML applied to detect malicious web URLs

malimg

Visual malware classification experiments using deep learning techniques.

malimg-classification

Classify malware binaries converted to images using a deep neural network.

malini

Machine Learning in NeuroImaging (MALINI) is a MATLAB-based toolbox used for feature extraction and disease classification using resting state functional magnetic resonance imaging (rs-fMRI) data. 18 different popular classifiers are presented. With slight modifications, it can also be used for any classification problem using any set of features.

malware-analysis

using Drebin dataset to distinguish between malwares and not malwares

malware-classification-malimg-dataset-tensorflow

malwarecnns

Implementation and result comparison of multiple Convolutional Neural Network Architectures on the MalIMG and MaleVIS datasets

mastering-ml-w-python-in-six-steps

Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan

mdpi

Bibliometric data analysis of papers published in MDPI journals

mealpy-feature-selection

The largest library developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.