Pau1code's repositories
interview_internal_reference
2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
meta-dataset
A dataset of datasets for learning to learn from few examples
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
awesome-cn
超赞列表合集
awesome-pcaptools
A collection of tools developed by other researchers in the Computer Science area to process network traces. All the right reserved for the original authors.
cardinality_estimation_evaluation_framework
Evaluation framework and methods for estimating cardinalities of groups of sets
DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
FlowLens
Code for the paper "FlowLens: Enabling Efficient Flow Classification for ML-based Network Security Applications" [NDSS '21]
how-do-vits-work
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
HyperLPR
基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
jekyll
:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby
mac-dev-setup
A beginner's guide to setting up a development environment on macOS
MP-SPDZ
Versatile framework for multi-party computation
MSCRED
Multi-Scale Convolutional Recurrent Encoder-Decoder
ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
Pau1code.github.io
hexo blog
Road2Coding
编程之路
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.