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-automata-and-formal-language-notes

自动机与形式语言笔记

absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

adversarial-attacks-for-image-and-video-object-detection

A Implementation of IJCAI-19(Transferable Adversarial Attacks for Image and Video Object Detection)

amp-regularizer

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", submitted to AAAI 2021

awesome-federated-computing

:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

awesome-federated-learning

Federated Learning Library: https://fedml.ai

buaa-dl2021

BUAA-2021深度学习中作业

buaa_course_sharing

北京航空航天大学(北航)课程作业资料共享计划

cuda-matrix-multiplication

Matrix Multiplication on GPU using Shared Memory considering Coalescing and Bank Conflicts

episodic-lifelong-learning

Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch

google-research

Google Research

leetcode-patterns

A curated list of leetcode questions grouped by their common patterns

machine-learning-algorithms-implemented-by-python

《统计学习方法》--李航 书中算法实现

matrix-cuda

matrix multiplication in CUDA

mnist-csv-png

Conversion for the MNIST dataset to CSV and PNG

mt3

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

probabilistic-graphical-model

pyhanlp

中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁 自然语言处理

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

robustbench

RobustBench: a standardized adversarial robustness benchmark [arXiv, Oct 2020]

rsna2019_intracranial-hemorrhage-detection

Code for 1st Place Solution in Intracranial Hemorrhage Detection Challenge @ RSNA2019

st-mgat

tent

ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization

ups

"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)

waking-up

计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；全部采用【问题+追问+答案】的形式，即拿即用，直击互联网大厂面试:rocket:；可用于模拟面试、面试前复习、短期内快速备战面试...