justcherie

hiplot

HiPlot makes understanding high dimensional data easy

1D-CNN

Notebooks to introduce and understand 1D-CNNs.

accimage

high performance image loading and augmenting routines mimicking PIL.Image interface

adapt-vqe

ADAPT-VQE simulation code

adaptive-gradient-descent

Researching stochastic gradient descent methods based on the scientific paper

afs_lda_demo

code and data from the AFS LDA demo

aica-agent

AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

justcherie/irl-imitation

Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

justcherie/irl-maxent

Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python

justcherie/databook_matlab

Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/

justcherie/awesome-control-theory

Awesome resources for learning control theory

justcherie/databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

justcherie/pysindy

A package for the sparse identification of nonlinear dynamical systems from data

justcherie/torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

justcherie/lets-do-irl

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

justcherie/dysts

More than a hundred strange attractors

justcherie/cphy

Class materials for computational physics course

justcherie/anchordataaugmentation

justcherie/ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

justcherie/PhySO

Physical Symbolic Optimization

justcherie/Pontryagin-Differentiable-Programming

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

justcherie/dynamic-systems-and-chaos

:open_book: Dynamic Systems and Chaos

justcherie/iscan

A Python 3 package for identifying distribution shifts between causal models. Implementation of the paper: "iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models".

justcherie/torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

justcherie/nonlinearTseries

Nonlinear time series analysis in R

justcherie/ordpy

A Python package for data analysis with permutation entropy and ordinal network methods.

justcherie/web-check

🌐 All-in-one website OSINT tool for analysing any website

justcherie/chaospy

Chaotic attractors with python (Lorenz, Rossler, Rikitake etc.)

justcherie/nonlinear_chaotic_systems

This is a project where i will provide interactive jupyter notebooks accompanying my expeditions into the realms of chaos in non-linear systems

justcherie/cNN-DP

A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives

justcherie/phys_computational_physics

This course covered computational techniques for situations that often arise in Physics, Mathematics, and Engineering.

justcherie/theHarvester

E-mails, subdomains and names Harvester - OSINT

justcherie/volatility

An advanced memory forensics framework

justcherie/pyclustering

pyclustering is a Python, C++ data mining library.

justcherie/super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library

justcherie/Cirq

A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

justcherie/quantum

Hybrid Quantum-Classical Machine Learning in TensorFlow