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generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gittest

description

img-seg-net

Image segmentation using a fully convolutional network

lapsrn-tensorflow

Tensorflow implementation of the paper "Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution"

leetcode

LeetCode Online Judge

machine-learning-uiuc

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

machinelearning

A collection of Python code and machine learning exercises

ml

mlframework

mlinfsharp

machine learning algorithm in f sharp

mlkit

multiide

new project

neural-enhance

Super Resolution for images using deep learning.

neural-style-transfer-papers

:pencil2: Neural Style Transfer: A Review

os

ourrobot

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

py_img_seg_eval

Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation

pytorch-lapsrn

Pytorch implementation for LapSRN (CVPR2017)

pytorch-super-resolution-model-collection

Collection of Super-Resolution models via PyTorch

pytorch-vdsr

VDSR (CVPR2016) pytorch implementation

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

segmentation.x

Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

single-image-super-resolution

A collection of high-impact and state-of-the-art SR methods

spinningup

An educational resource to help anyone learn deep reinforcement learning.

tensorflow-vdsr

A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'

tf_tutorial_plus

TensorFlow Tutorials for APIs that are not well covered in official documentation

the-gan-zoo

A list of all named GANs!

ttf-wps-fonts

Symbol fonts required by wps-office.

videosuperresolution

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.