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neural-networks-and-deep-learning-1

Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai

neural-tangents

Fast and Easy Infinite Neural Networks in Python

neuralnetwork-examples

The same small networks implemented in different frameworks

nistsg

Numerical inverse scattering for the sine-Gordon equation

nlpar

Non-Local smoothing for enhanced EBSD pattern indexing

noevent

Spike-time based simulation of a network of neurons. I used this to investigate synchronization and non-monotonicity of Leaky/Quadratic-Integrate-and-fire.

notebooks

working repository to stash notebooks, code

nrlsmf

NRL Simplified Multicast Forwarding (SMF) implementation (RFC 6621)

odlworkshop

Material for ODL workshop Dec 2017

ofdm_dnn

ogunbo-2018

ohmyzsh

🙃 A delightful community-driven (with nearly 1,500 contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

openems

openEMS is a free and open-source electromagnetic field solver using the EC-FDTD method.

openmeeg

A C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG.

opm-simulators

Simulator programs and utilities for automatic differentiation.

optimization_method_and_matlab_program_designing

This is a book about Optimization, in which Accurate line search, Non-Accurate line search, steepest descent method, newton method, conjugate gradient methods, quasi Newton's method（BFGS, DFP, Broyden family）, Trust region method, Nonlinear least squares problem(Gauss-Newton method, Levenberg_Marquardt method), the optimality conditions, the penalty function method, the feasible direction method, quadratic programming and sequential quadratic programming method(Newton-Lagrange method, SQP method) are referred.

ospf-mdr

OSPF MANET Designated Routers implementation (RFCs 5614, 5243, 5838)

osprey

🦅Hyperparameter optimization for machine learning pipelines 🦅

overmind

AI for Screeps, a multiplayer programming strategy game

paper-reading

深度学习经典、新论文逐段精读

paper-with-code-of-wireless-communication-based-on-dl

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

parallel-dataloader-in-tensorflow

loading data parallelly In TensorFlow to improve the whole system efficiency.

pardiso.jl

Calling the PARDISO library from Julia

pde-surrogate

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

pedestrian-detection

Pedestrian detection

performance-testing

Project created to measure the performance of the Docker-based Packet Tracer.

pet-mr.github.io

Positron Emission Tomography and Magnetic Resonance imaging

petrophysics

A python package with useful functions for well log interpretation.

pgd-net

Proximal Gradient Descent Network (PGD-Net) for Magnetic Resonance Fingerprinting, MICCAI'2020

phd-thesis

PhD Thesis