Pinned Repositories
absolute-cpp
Exercises from Absolute C++ (5e); Savitch; Pearson; 2013
ActiveContour
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
asio-network-programming-cookbook
Boost.Asio C++ Network Programming Cookbook by Dmytro Radchuk
awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
awesome-matlab
A curated list of awesome Matlab frameworks, libraries and software.
baxter_interface
Baxter Research Robot Python Interfaces for the Baxter SDK
Bayesian-Filtering-and-Smoothing
Companion python code for the book Bayesian Filtering and Smoothing by Simo Särkkä
BayesianNonparametrics
blog
for code created as part of http://studywolf.wordpress.com
eetuna's Repositories
eetuna/control-tools
A set of random and arbitrary tools and games I've created to help explain control theory.
eetuna/cppstylelineup
a comparison of common C++ style guides
eetuna/cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
eetuna/cs231n.github.io
Public facing notes page
eetuna/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
eetuna/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
eetuna/Data-Scientist-Books
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)
eetuna/differentiable-robot-model
We are implementing differentiable models of robot manipulators, which allows us to learn typically assumed to be known models of robots for control and motion planning.
eetuna/gadgetron
Gadgetron - Medical Image Reconstruction Framework
eetuna/homeworks
eetuna/kindr
Kinematics and Dynamics for Robotics
eetuna/kindr_ros
ROS wrappers for kindr
eetuna/Machine-Learning-of-Dynamical-Systems-using-Recurrent-Neural-Networks
This project deals with learning to reproduce the input-output behavior of state-space models using recurrent neural networks and the Keras machine learning toolbox.
eetuna/manipulation
Course notes for MIT manipulation class
eetuna/market-toolkit
A collection of stock market resources and tools
eetuna/Matavecontrol
GNU Octave and MATLAB control toolbox
eetuna/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
eetuna/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
eetuna/probabilistic-programming
Experimenting with and teaching probabilistic programming
eetuna/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
eetuna/probabilistic_robotics
solution of exercises of the book "probabilistic robotics"
eetuna/pyro
Deep universal probabilistic programming with Python and PyTorch
eetuna/python-dev-tips
Minimal package to demonstrate good Python development habits
eetuna/pytorch_kinematics
Robot kinematics implemented in pytorch
eetuna/robotics-toolbox-python
Robotics Toolbox for Python
eetuna/SlicerHeart
3D Slicer extension for cardiac analysis
eetuna/SlicerZFrameRegistration
This extension can be used for the registration between intra-procedural image frame of reference with the transperineal biopsy or cryoablation templates
eetuna/stat_rethinking_2022
Statistical Rethinking course winter 2022
eetuna/Time-series-Analysis-using-LSTM-RNN-and-GRU
Time series Analysis using LSTM,RNN and GRU with pytorch
eetuna/Wireless-USB-Big-Sur-Adapter
Drivers for Realtek 802.11n and 802.11ac USB Wi-Fi adapters. Packages for macOS