hamedmx Goto Github PK

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

image-classification

Predict the correct class for each object in Cifar-10 dataset using Tensorflow and implementing Convolutional Neural Network

imbalanced-learn

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

infersent

InferSent sentence embeddings

interpret

Fit interpretable models. Explain blackbox machine learning.

jamr

JAMR Parser and Generator

jellyfish

🎐 a python library for doing approximate and phonetic matching of strings.

joss-reviews

Reviews for The Journal of Open Source Software

junit-cfg-software-testing

Unit Testing and Program-Level Testing using JUnit, Control Flow Graphs and Branch Coverage Reports on a Java class :white_check_mark::heavy_check_mark::x::heavy_exclamation_mark:

k-anonml

k-anonymity

Anonymization methods for network security.

kdd-cup-99-analysis-machine-learning-python

Working with kdd cup 99 Dataset. Using Scikit-Learn, Pandas and Keras. The goal is to create a predictive model of network intrusion detection. I got 99.94% accuracy when I applied a simple Neural Network and 94% when I applied Naive Bayes.

knowledgegraphembedding

lda2vec

lime

Lime: Explaining the predictions of any machine learning classifier

logistic-regression-explained

Simple yet detailed explanation of Logistic regression used in Machine learning problems.

machine-learning-diff-private-federated-learning

Simulate a federated setting and run differentially private federated learning.

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

manhattan-lstm

Keras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.

mass-ts

MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z-normalized Euclidean distance for similarity.

medium

Code related to blog posts on my Medium page

metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

minigrad

A minimal implementation of autograd (in pure Python) 🍰

ml-classification-exploration

ml-papers

Summaries of papers on machine learning, computer vision etc.

ml-susy-dataset

Exploration of dataset https://archive.ics.uci.edu/ml/datasets/SUSY

ml_privacy_meter

Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks

mnist-image-classification-using-cnn-differential-privacy-and-pate

Deep learning implementation using the concept of differential privacy

model-theoretic