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162-tree-based-navigation-revised

2020tianchi-proteinsecondarystructureprediction-top1

2020天池大赛，蛋白质结构预测大赛TOP1方案分享

2021-gaiic-phase3-idea

2021-gaiic-track1-idea

全球人工智能技术创新大赛【赛道一】

2021_aiac_task2_1st

QQ浏览器2021AI算法大赛赛道二 第1名 方案. Rank 1st solution to QQ Browser 2021 AI Algorithm Competition (CIKM AnalytiCup 2021) Track 2 Automated Hyperparameter Optimization.

acts-as-taggable-on

A tagging plugin for Rails applications that allows for custom tagging along dynamic contexts.

adaptive_graph_diffusion_networks_with_hop-wise_attention

advanced-java

😮 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识，后端同学必看，前端同学也可学习

ai-paper-collector

Fully-automated scripts for collecting AI-related papers

ainoob

ainoob_term2

airflow-tutorial

Apache Airflow tutorial

alloyfinger

super tiny size multi-touch gestures library for the web. 　　　You can touch this →

angularjs-in-patterns

AngularJS in patterns - this repository provides different look into AngularJS. It contains information where different design patterns are used inside the framework or any AngularJS application.

api-deployment-example

articubot_one

async-javascript

Asynchronous Programming in JavaScript

attentions

PyTorch implementation of some attentions for Deep Learning Researchers.

attnmove

This is for AAAI2020 submission #9808

awesome-ai-books

Some awesome AI related books and pdfs for learning and downloading

awesome-electron

Useful resources for creating apps with Electron

ayepromise

A teeny-tiny promise library

backtobackswe

Legacy Code Examples For Back To Back SWE Lessons

barefoot

Map matching for the cities in China

basic-augmented-reality-course-opencv

This is basics Augmented reality course, which is free you can find video tutorial on https://www.youtube.com/aiphile

bdc2019

高校赛2019 文本点击预测

bdci-2020-timeseries-prediction

Matrix Factorization for High-Dimensional and Sparse Time Series Prediction

bert_fine_tuning_sentence_classification

In this tutorial I'll show you how to use BERT with the huggingface PyTorch library to quickly and efficiently fine-tune a model to get near state of the art performance in sentence classification. More broadly, I describe the practical application of transfer learning in NLP to create high performance models with minimal effort on a range of NLP tasks.

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

bjrubyist

北京Rubyist