JIMMY-KSU

robosumo

Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"

scratch_mlp

Explaining the Math of how neural networks learn

Python

All Algorithms implemented in Python

FluidFlowPrediction

Repo for Stieffel Optimization for Fluid Flow Prediction

TorchSnooper

Debug PyTorch code using PySnooper

KRONIC

Koopman Reduced-Order Nonlinear Identification and Control

tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

TensorNetwork

A library for easy and efficient manipulation of tensor networks.

deeplearning-models

A collection of various deep learning architectures, models, and tips

10-steps-to-become-a-data-scientist

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

tensorspace

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

tensorspace

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

STIG

Structured Threat Intelligence Graph

nntypes

An implementation of the functions that Chris Olah talks about in his blog post Neural Networks, Types, and Functional Programming connecting ideas from deep learning to ideas from functional programming.

Data-Science

R , Python, Machine Learning, Data Analysis, Data Visualization,Data Manipulation,Data Cleaning

playground

Play with neural networks!

PlotNeuralNet

Latex code for making neural networks diagrams

draw_convnet

jetbot

An educational AI robot based on NVIDIA Jetson Nano.

jetbot

An educational AI robot based on NVIDIA Jetson Nano.

t81_558_deep_learning

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

numerical-mooc

A collaborative educational initiative in computational science and engineering.

ThinkBayes

Jupyter Notebooks derived from Allen Downey's book Think Bayes.

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

DAPPER

Data Assimilation with Python: a Package for Experimental Research (DAPPER)

Python-3-Object-Oriented-Programming-Third-Edition

Python 3 Object-Oriented Programming – Third Edition, published by Packt

pymc

Bayesian Modeling and Probabilistic Programming in Python

takens-embed

Using the Taken's embedding theorem to estimate the causality between variables. Based on Sugihara et al (2012) - Detecting Causality in Complex Ecosystems.