jeromeku Goto Github PK

nbdev_getting_started

nbpackage

nctc_course

Markov Decision Processes and Dynamic Optimization module at NCTC, March 2015

neon

Nervana's python based Deep Learning Framework

network-science

Practical assignments for the network science course

networktraffic-kdd-tutorial

neural_network

Theano neural network classes

neuralnets

The implementation of artificial neural networks classifier in Python (with the help of Theano library). Includes neural networks with dropout method, as well as stacking denoising autoencoders and stacking restricted Boltzmann machines for weight pre-training.

neuromancy

Framework for building deep learning neural networks using theano (python library).

ngcm_pandas_2016

Python data analysis course for 2016 NGCM Summer Academy

ngs-notebooks

nlp

Natural Language Processing Best Practices & Examples

nlp-class-example-code

nlp-from-scratch-assignment-2022

An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch

nlp_highlights

The most important NLP highlights of 2018 (PDF Report)

nlp_profiling

nlpcaffe

nnkit

An object-oriented neural network toolkit built in Python using Theano, Numpy, OpenCV, and CUDA.

node-express-mongoose-demo

A simple demo app in node.js using express, mongoose, passport.js and jade for beginners

notebooks

IPython Notebooks from Various Presentations

notebooks-1

Implement, demonstrate, reproduce and extend the results of the article 'Differential Machine Learning' (Huge & Savine, 2020), and cover implementation details left out of the working paper

npfl122

UFAL Deep RL Course

ntds_2019

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

numeric

numerical

numerical-methods

Graduate level course on numerical methods for economists

numerical-methods-pdes

Jupyter notebook class notes for Numerical Methods for PDEs

numerical-mooc

A collaborative educational initiative in computational science and engineering.

numericalmethods

Some open material relating to the Southampton Numerical Methods course

numerics-notes

Slides/notes and Jupyter notebook demos for an introductory course of numerical analysis/scientific computing