westamine Goto Github PK

multibox

multidimensional-lstm-bitcoin-time-series

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

nano-degree-projects

🎓 Udacity Nano Degree Android Projects. All Needed projects you can check out my work here. Submitted and accepted projects.

nanomap

Nanomap

neural-enhance

Super Resolution for images using deep learning.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

nipype

Workflows and interfaces for neuroimaging packages

nn

nolearn

Abstractions around neural net libraries, most notably Lasagne.

numerox

Numerai tournament toolbox written in Python

numexpr

Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more

numpy-100

100 Numpy exercises (70 actually, we need your help...)

numpy-cnn

A numpy-only implementation of a Convolutional Neural Network, from the ground up.

online-python-training

Repo for materials associated with the Online Python Training (OPT) project

onnx

Open Neural Network Exchange

open-cv-bow-demo

Automatically exported from code.google.com/p/open-cv-bow-demo

open-geo-tutorial

Tutorial of fundamental remote sensing and GIS methodologies using open source software in python

openblas

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

opencl-caffe

This is a Experimental version of OpenCL by AMD Research, we now recommend you to use The official BVLC Caffe OpenCL branch is over at Caffe branch now at https://github.com/BVLC/caffe/tree/opencl

opencv-practical-exercise

OpenCV practical exercise

opencv2-python

Contains some Python Samples with new cv2 interface of OpenCV

opencv_contrib

Repository for OpenCV's extra modules

opencv_imagebackgroundremoval

Remove image background and shadows

openhpe

A hand pose estimator using model fitting by finding minimal energy, using OpenCV and tnc.c library.

pansharpening-cnn

Target-Adaptive CNN Based Pansharpening is an advanced version of pansharpening method PNN with residual learning, different loss and a target-adaptive phase.

pansharpening-convolutionalautoencoder

Convolutional Autoencoder-Based Multispectral Image Fusion: https://ieeexplore.ieee.org/document/8668404

paper-collection

A track of papers I read and papers I collect to read in future

paper_implementation

Implementation of various generative deep model using tensorflow

papers

Summaries of machine learning papers

part-based-rcnn

Codes and pretrained model for ECCV 14 paper 'Part based RCNNs for fine-grained category detection'