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android-architecture-knowledge-2-

阿里P7移动架构师学习路线

android2

《Android Studio开发实战：从零基础到App上线》随书源码（全面添加注释版）

annotated-transformer

An annotated implementation of the Transformer paper.

ant-design

An enterprise-class UI design language and React UI library

asnet

attention-augmented-conv2d

Implementing Attention Augmented Convolutional Networks using Pytorch

awesome-crowd-counting

Awesome Crowd Counting

bazel

a fast, scalable, multi-language and extensible build system

bert-keras

Keras implementation of BERT with pre-trained weights

c-3-framework

An open-source PyTorch code for crowd counting

camerademo

一个较为完整的Android相机Demo，使用Camera2 api接口开发

cbam-tensorflow

CBAM implementation on TensowFlow

chapter5-learning_csrnet

code-visualization-pytorch

cloze_test

使用Bert模型完成完形填空的NLP任务

cocoapi

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

coda

Implementation for CODA

counting-iccv-dssinet

Crowd Counting with Deep Structured Scale Integration Network

crayon

A language-agnostic interface to TensorBoard

crowd-counting-scnn

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

crowdcount-cascaded-mtl

Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)

crowdcount-mcnn

Single Image Crowd Counting via MCNN (Unofficial Implementation)

csrnet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

cuda_hgemm

Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruction.

cuda_hgemv

Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.

da-net-crowd-counting

Crowd counting Code for IEEE Access paper "DA-Net: Learning the fine-grained density distribution with deformation aggregation network"

deep-crowd-counting_crowdnet

An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

densenet-with-pytorch

使用pytorch实现DenseNet，完成完整的代码框架，从建立数据集、设置参数、训练网络到推理测试。