wodejing

netty

Netty project - an event-driven asynchronous network application framework

netty-in-action

Java-Interview

经历BAT面试后总结的【高级Java后台开发面试指南】，纯净干货无废话，针对高频面试点

JavaGuide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

example.v2

An example project for book 'Go Programming & Concurrency in Practice, 2nd edition' (《Go并发编程实战》第2版).

gin

Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.

the-way-to-go_ZH_CN

《The Way to Go》中文译本，中文正式名《Go 入门指南》

Go-Spider

Go spider

iris

The fastest HTTP/2 Go Web Framework. New, modern and easy to learn. Fast development with Code you control. Unbeatable cost-performance ratio :rocket:

go

The Go programming language

Golang-100-Days

Golang - 100天从新手到大师

bert

TensorFlow code and pre-trained models for BERT

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

BERT-pytorch

Google AI 2018 BERT pytorch implementation

VL-BERT

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

bypy

Python client for Baidu Yun (Personal Cloud Storage) 百度云/百度网盘Python客户端

mcan-vqa

Deep Modular Co-Attention Networks for Visual Question Answering

EvalAI

:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI

cocoapi

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

HieCoAttenVQA

shadowsocks

shadowsocks.wiki

ban-vqa

Bilinear attention networks for visual question answering

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

vqa-winner-cvprw-2017

Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17

VQA2.0-Recent-Approachs-2018.pytorch

A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures", "Learning to count object", "Bottom-up top-down" for Visual Question Answering 2.0

vqa.pytorch

Visual Question Answering in Pytorch

block.bootstrap.pytorch

BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models

bottom-up-attention-vqa

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

VQA

Hierarchical Question-Image Co-Attention for Visual Question Answering