Lamine Diop's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
analytics-handbook
Getting started with soccer analytics
beyond-bigrams
Some sample notebooks for the DSGO 2019 "Beyond Bigrams" workshop
cleanlab
✨ Finding label errors in datasets and learning with noisy labels.
h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
LinXGBoost
Extension of the awesome XGBoost to linear models at the leaves
m2cgen
Transform ML models into a native code (Java, C, Python, Go) with zero dependencies
machine-learning-course
:speech_balloon: Machine Learning Course with Python. Refer to the course page for step-by-step explanations.
machine_learning_refined
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
MATLAB-Octave
This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.
MDS-7374-Business-Analytics
Repo for data sets, assignments readings and other materials for Business Analytics
MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
mljar-supervised
The Automated Machine Learning - the new standard in ML. Machine Learning for Humans.
modAL
A modular active learning framework for Python3
modeltime
Modeltime unlocks time series forecast models and machine learning in one framework
NetworkML
Machine learning plugins for network traffic
NMFLibrary
MATLAB library for non-negative matrix factorization (NMF): Version 1.8.0
nycflights13
An R data package containing all out-bound flights from NYC in 2013 + useful metdata
orange3-educational
🍊 🎓 Educational widgets for machine learning and data mining in Orange 3.
Self-Learning
Books Papers, Courses & more I have to learn soon
Solid
🎯 A comprehensive gradient-free optimization framework written in Python
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
stellargraph
StellarGraph - Machine Learning on Graphs
Stock-Price-Trade-Analyzer
This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.
theMLbook
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
tslearn
A machine learning toolkit dedicated to time-series data
wtte-rnn
WTTE-RNN a framework for churn and time to event prediction