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100-days-of-ml-code

100-Days-Of-ML-Code中文版

aesthetics

Image Aesthetics Toolkit - includes Fisher Vector implementation, AVA (Image Aesthetic Visual Analysis) dataset and fast multi-threaded downloader

alphagozero-python-tensorflow

Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals.

basel-face-pipeline

blur-detection

Some implementations of algorithms for blur detection in JPEGs

caffe

Caffe: a fast open framework for deep learning.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

fast-rcnn

Fast R-CNN

fast_seg

Fast Interactive Image Segmentation using Graph-cut.

faster_rcnn

Faster R-CNN

gan-tensorflow

Implement Generative Adversarial Nets by Tensorflow

ilgnet

image-similarity-deep-ranking

imageflow

High-performance image manipulation for web servers. Includes imageflow_server, imageflow_tool, and libimageflow

iqa

Image Quality Assessment.

jekyll

Jekyll is a blog-aware, static site generator in Ruby

jia-repository1

The first Repository

jia-repository2

keras

Deep Learning for humans

kvm-guest-drivers-windows

Windows paravirtualized

leela-zero

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

lisa-caffe-public

Lisa Anne's public caffe code.

models

Models built with TensorFlow

neural-image-assessment

Implementation of NIMA: Neural Image Assessment in Keras

neural_renderer

"Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

office-apps

Office Apps by Microsoft Open Technologies, Inc.

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

predicting-photography-aesthetics-with-cnns

Using Convolutional Neural Networks to predict aesthetics of photographs

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version