hdony Goto Github PK

advent

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

afm_cvpr2019

Official implementation of paper "Learning Attraction Field Map for Robust Line Segment Detection" (CVPR 2019)

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

atm

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

auto-torch

The codes will be in public before the end of August. Please wait for a while.

automl-gs

Provide an input CSV and a target field to predict, generate a model + code to run it.

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-rl

Reinforcement learning resources curated

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

basnet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

bayesnas

cvpr2019

cvpr2019／cvpr2018/cvpr2019 papers，极市团队整理

darts

Differentiable architecture search for convolutional and recurrent networks

deep_reinforcement_learning

Resources, papers, tutorials

dm_env

A Python interface for reinforcement learning environments

drl

Repository for codes of 'Deep Reinforcement Learning'

efficientnas

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

emanet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

few-shot-object-detection-dataset

fss-1000

FSS-1000, A 1000-class Dataset For Few-shot Segmentation

griddehazenet

This repo contains the official training and testing codes for our paper: GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing.

guided-attention-inference-network

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

handout

Turn Python scripts into handouts with Markdown and figures

hdony-leetcode-classification

If you have no idea how to boost the ability of coding, try to follow this repo. Understanding, dictation, imitation and splitting are basic steps before you becoming a AI engineer. Never give up, I will be always with you.

hdony-nlp

hdony_machine_learning