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100-days-of-ml-code

100 Days of ML Coding

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

android

Android related examples

awesome-object-detection

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

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-semantic-segmentation-pytorch

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

ax

Adaptive Experimentation Platform

bdd-data

Toolkit to Use BDD Dataset

botorch

Bayesian optimization in PyTorch

caffe

Caffe: a fast open framework for deep learning.

caffe-android-demo

An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification

caffe-android-lib

Porting caffe to android platform

caffe-fixedpoint

caffe-mobile

iOS/Android Caffe lib with demo APP (CPU_ONLY, NO_BACKWARD, NO_BOOST, NO_HDF5, NO_LEVELDB)

caffe-vdsr

A Caffe-based implementation of very deep convolution network for image super-resolution

centernet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

clm-framework

CLM-framework (a.k.a Cambridge Face Tracker) is a framework for various Constrained Local Model based face tracking and landmark detection algorithms and their extensions/applications. Includes CLM-Z and CLNF.

cocoapi

COCO API - Dataset @ http://cocodataset.org/

code

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cv-arxiv-daily

分享计算机视觉每天的arXiv文章

cvpr2019

cvpr2019 papers

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

detectiontricks

ImageNet Detection Tricks

detectron

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

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

docs

TensorFlow documentation

drfi_cpp

C++ implementation of the paper Salient Object Detection: A Discriminative Regional Feature Integration Approach