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augmentor icon augmentor

Image augmentation library in Python for machine learning.

awesome-model-quantization icon awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

began-tensorflow icon began-tensorflow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

chainercv icon chainercv

ChainerCV: a Library for Deep Learning in Computer Vision

char-rnn-tensorflow icon char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

convolutional-lstm-in-tensorflow icon convolutional-lstm-in-tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

cyclegan icon cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

dasiamrpn icon dasiamrpn

Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)

document icon document

📘 各种编程学习资料 (Android C C++ DataBase HTML5 JavaWeb ios python uml 人工智能 操作系统 数学 数据结构 程序员需要的技术 程序设计 编译原理 计算机组成与结构 计算机网络 设计模式 软件工程 面试经验)

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fcn.tensorflow icon fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

gan icon gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

glow icon glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

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