joebradly

18.337_2015

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

DMRG-Learning-

Following "The Density Matrix Renormalization Group and its time-dependent variants" by A.E.Feiguin, implement an old-fasioned dmrg for fermion hubbard model (chain, ladder, SU(N)......)))

machine-learning

Implementation of different machine learning techniques

mpmath

Python library for arbitrary-precision floating-point arithmetic

topocm_content

Course on topology in condensed matter

joebradly/topocm_content

Course on topology in condensed matter

joebradly/18.337_2015

joebradly/awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

joebradly/calidar

code to calibrate the internal parameters of spinning lidar sensors

joebradly/ceigs

C Wrapper for ARPACK.

joebradly/cme257-advanced-julia

Advanced Topics in Scientific Computing with Julia

joebradly/CppCoreGuidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

joebradly/data-science-at-the-command-line

Data Science at the Command Line

joebradly/data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, Spark, Hadoop MapReduce, HDFS, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

joebradly/datacarpentry

Data Carpentry workshop materials

joebradly/goagent

https://code.google.com/p/goagent/issues/list

joebradly/h5py

HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.

joebradly/inhom-quantum-boltzmann-fourier-c

Spatially inhomogeneous matrix-valued quantum Boltzmann equation using Fourier transformation (C implementation)

joebradly/Intro_iOS_Armadillo

Introduction to the use of Armadillo in iOS with the Accelerate Framework

joebradly/Intro_iOS_Camera

Simple example on how to use the camera in iOS with OpenCV

joebradly/Intro_iOS_OpenCV

Example of OpenCV using XCode

joebradly/Kalman-and-Bayesian-Filters-in-Python

Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.

joebradly/kfusion

This is an implementation sketch of the KinectFusion system described by Newcombe et al.

joebradly/MigdalEliashbergSolver

A fast solver of Migdal-Eliashberg equations in equilibrium and non-equilibrium

joebradly/mlpack

mlpack: a scalable C++ machine learning library

joebradly/MRPAPP

The MRPA++ computer code simulates neutron scattering and superconductivity in correlated electron systems. It uses a random-phase approximation (RPA) / Bardeen-Cooper-Schrieffer (BCS) theory to predict the neutron scattering cross section of realistic multi-orbital tight-binding models with Hubbard-like electron-electron interactions for the normal and superconducting states. It can also be used to calculate the pairing interaction in these models using an RPA approximation and to predict the superconducting gap structure.

joebradly/neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

joebradly/pyfssa

Scientific Python package for finite-size scaling analysis

joebradly/python-bootcamp

Bootcamp docs and lectures

joebradly/quest-qmc

Automatically exported from code.google.com/p/quest-qmc

joebradly/rpa

Code for a Random Phase approximation for the fermionic Hubbard model

joebradly/searx

A privacy-respecting, hackable metasearch engine

joebradly/seminar

An example syllabus and lesson materials for a seminars on effective computation in the physical sciences.

joebradly/simple-dmrg

SIMPLE DMRG tutorial, created for the Trieste summer school on quantum spin liquids.

joebradly/snake-dmrg

Automatically exported from code.google.com/p/snake-dmrg