Stars
Simulator of a swarm of surface vehicles in marine environments
Python-only dependency-free middleware that resembles ROS using ZeroMQ
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.
Materials for The Alan Turing Institute's Research Software Engineering course
Notebooks about Bayesian methods for machine learning
DO NOT CHECK OUT THESE FILES FROM GITHUB UNLESS YOU KNOW WHAT YOU ARE DOING. (See below.)
Code repo for the Beginners Guide to Python 3 Programming
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
A Python package for time series classification
This repository is for the Linkedin Learning course: Learning Python
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Probabilistic time series modeling in Python
Time series forecasting with PyTorch
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
A unified framework for machine learning with time series
ruptures: change point detection in Python
A flexible, intuitive and fast forecasting library
Extra blocks for scikit-learn pipelines.
Advanced Deep Learning with Keras, published by Packt
A Python toolbox for performing gradient-free optimization
This repository contains the text for the Tiny Python 3.10 Notebook.
Python Data Science Handbook: full text in Jupyter Notebooks