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machinelearning

Exercises for the Stanford/Coursera Machine Learning Class

mmdetection

Open MMLab Detection Toolbox with PyTorch

mx-maskrcnn

An MXNet implementation of Mask R-CNN

mx-rcnn

Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more

mxnet-bk

mxnext

neural-enhance

Super Resolution for images using deep learning.

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

pycls

Codebase for Image Classification Research, written in PyTorch.

pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

raft

resnet.mxnet

scn_matlab

Matlab reimplementation of SCNSR

senet

Squeeze-and-Excitation Networks

simpledet-pub

A Simple and Versatile Framework for Object Detection and Instance Recognition

simpleneuralnetwork

A simple neural network implement in c++

sparse-structure-selection

subpixel

subpixel: A subpixel convnet for super resolution with Tensorflow

super-resolution.benckmark

Benchmark and resources for single super-resolution algorithms

tfrecord

TFRecord reader for PyTorch

torch-opcounter

torch-srgan

torch implementation of srgan

transfer-caffe

caffe for transfer learning

video-nonlocal-net

Non-local Neural Networks for Video Classification

vim8

Configuration for Vim8

vision

Datasets, Transforms and Models specific to Computer Vision

waifu2x

Image Super-Resolution for Anime-Style Art

waifu2x-converter-cpp

waifu2x(original : https://github.com/nagadomi/waifu2x) re-implementation in C++ using OpenCV

wide-residual-networks

95.8% and 80% on CIFAR-10 and CIFAR-100