astoncpou Goto Github PK

acrnn

EEG-based Emotion Recognition via Channel-wise Attention and Self Attention

advanced-lane-line-detection

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

ai-job-notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

ai_curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

ailearning-master

pc uploadig

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

astoncpou.github.io

automl

Google Brain AutoML

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-lane-detection

A paper list of lane detection.

awesome-meta-learning

元学习（Meta Learning）最全论文、视频、书籍资源整理

bag_of_tricks_for_image_classification_with_convolutional_neural_networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

bcisim

bciSim is a set of MATLAB functions for simulating closed-loop BCI performance with linear velocity decoders

bechmark_result

blog

Public repo for HF blog posts

braindecode

A deep learning toolbox to decode raw time-domain EEG.

calculator

Windows Calculator: A simple yet powerful calculator that ships with Windows

centertrack

Simultaneous object detection and tracking using center points.

chinese_docker

docker中文文档，docker Chinese Documation

class-incremental-learning

PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020)

cmt

coding-interview-university

A complete computer science study plan to become a software engineer.

codinginterviewchinese2

《剑指Offer》第二版源代码

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

confidenceestimates

Official code release for paper "Improving Confidence Estimates for Unfamiliar Examples" https://arxiv.org/abs/1804.03166

context-expression-nature-study

course-content

NMA Computational Neuroscience course