sepam
Follow
Starred repositories
48
stars
written in Jupyter Notebook
Clear filter
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A game theoretic approach to explain the output of any machine learning model.
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Data and code behind the articles and graphics at FiveThirtyEight
A collection of various deep learning architectures, models, and tips
Your new Mentor for Data Science E-Learning.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Practice your pandas skills!
Best Practices, code samples, and documentation for Computer Vision.
An open-source, low-code machine learning library in Python
Visualizations for machine learning datasets
Playing Pokemon Red with Reinforcement Learning
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…
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
A Deep Learning based project for creating line art portraits.
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
A library for debugging/inspecting machine learning classifiers and explaining their predictions
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…
Feature selector is a tool for dimensionality reduction of machine learning datasets
Machine Learning in Asset Management (by @firmai)
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Ten thousand books, six million ratings
The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)
Deliberate Practice for Learning Python
