satpreetsingh Goto Github PK

182mainproject

Automatically exported from code.google.com/p/182mainproject

183project

Automatically exported from code.google.com/p/183project

2014_fall_astr599

Content for my Astronomy 599 / Applied Math 500 Course: Intro to scientific computing in Python

2017

2018_materials

Materials for Neurohackademy 2018 lectures, tutorials, etc.

547

Linear Systems Theory at UW Seattle

548

Wi17 Linear Multivariable Control at the University of Washington in Seattle

aa228-notebook

IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University

aai-site

NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science

advoc

Vocode spectrograms to audio with generative adversarial networks

affinewarp

aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

alexisylchan

all-that-likelihood-with-pymc3

analyzing_neural_time_series

python implementations of Analyzing Neural Time Series Textbook

annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

applied_math

appliedgenomics2022

Materials for EN.601.449/EN.601.649 Computational Genomics: Applied Comparative Genomics

askbot-devel

ASKBOT is a Q&A forum, written in Django/Python and Javascript. **TRANSLATORS**: please note that the translation environment is available at Transifex

autodidact

A pedagogical implementation of Autograd

autograd

Efficiently computes derivatives of numpy code.

awesome-action-recognition

A curated list of action recognition and related area resources

awesome-compneuro

A curated list of resources dedicated to Computational Neuroscience

awesome-neurocontrol

A curated list of neural applications in control theory and practice

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

awesome-rl

Reinforcement learning resources curated

awesome-vaes

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

bayesian-reward-shaping

Bayesian Reward Shaping Framework for Deep Reinforcement Learning

bayesiandmd

Bayesian Dynamic Mode Decomposition (Bayesian DMD)