liuhaolinwen Goto Github PK

academic-site

my academic site

aibook

AiBook

alphatree-graphic-deep-neural-network

将深度神经网络中的一些模型 进行统一的图示，便于大家对模型的理解

autodp

autodp: A flexible and easy-to-use package for differential privacy

awesome-differential-privacy

Differential privacy theory and code

awesome-federated-learning

resources about federated learning and privacy in machine learning

cs-notes

:books: 技术面试必备基础知识、Leetcode 题解、后端面试、Java 面试、春招、秋招、操作系统、计算机网络、系统设计

data-efficient-model-compression

Data Efficient Model Compression

dataset_to_voc_converter

Scripts to convert datasets (Caltech pedestrian, MS COCO, HDA) to PASCAL VOC format

deeplearning-notes

:blue_book: 记录深度学习的学习过程和资料整理，包括计算机视觉CV、Paper解读等...

differential-privacy

Google's differential privacy libraries.

differential-privacy-federated-learning

Curated notebooks on how to train neural networks using differential privacy and federated learning.

dpdl

A new framework of deep learning with differential privacy

fastdp

👁Large-Scale Distributed Private Learning with DPSGD

federated-learning

Related material on Federated Learning

imagenet_utils

:arrow_double_down: Utils to help download images by id, crop bounding box, label images, etc.

interpy-zh

📘《Python进阶》（Intermediate Python 中文版）

lhl-ner

课程大作业NER

mixmatch

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

name-entity-recognition

Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow

prml

PRML algorithms implemented in Python

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

python-100-days

Python - 100天从新手到大师

pytorch-dp

Training PyTorch models with differential privacy

roadmap-of-dl-and-ml

Roadmap of DL and ML, some courses, study notes and paper summary