Tom-Cat-God

Tom-Cat-God

Geek Repo

Company:Zhejiang University

Location:Hangzhou, China

Github PK Tool:Github PK Tool


Organizations
6-Tomcat

Tom-Cat-God's repositories

autodp

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

License:Apache-2.0Stargazers:0Issues:0Issues:0

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

License:CC0-1.0Stargazers:0Issues:0Issues:0

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Stargazers:0Issues:0Issues:0

CS480

CS 480 - Introduction to Artificial Intelligence

Stargazers:0Issues:1Issues:0

daisyRec

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

License:Apache-2.0Stargazers:0Issues:0Issues:0

DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

differential-privacy

Google's differential privacy library.

License:Apache-2.0Stargazers:0Issues:0Issues:0

DistributionalShapley

Distributional Shapley: A Distributional Framework for Data Valuation

License:MITStargazers:0Issues:0Issues:0
License:Apache-2.0Stargazers:0Issues:2Issues:0

Facial-Expression-Recognition.Pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019

Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)

License:NOASSERTIONStargazers:0Issues:0Issues:0
Language:PythonLicense:MITStargazers:0Issues:1Issues:0

lessons

📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!

License:MITStargazers:0Issues:0Issues:0

luoxi_models

see readme

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0
Stargazers:0Issues:2Issues:0

opencv_contrib

Repository for OpenCV's extra modules

Language:C++License:NOASSERTIONStargazers:0Issues:1Issues:0

Papers-Literature-ML-DL-RL-AI

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

License:MITStargazers:0Issues:1Issues:0

Python-100-Days

Python - 100天从新手到大师

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

pytorch-dp

Training PyTorch models with differential privacy

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

pytorch-privacy

simple Differential Privacy in PyTorch

License:Apache-2.0Stargazers:0Issues:0Issues:0

recmetrics

A library of metrics for evaluating recommender systems

License:MITStargazers:0Issues:0Issues:0

recommendation_model

练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM等

Stargazers:0Issues:0Issues:0

SequentialRec

Sequential Recommendation System algorithms including Basemodel,DIN,DIEN,SASRec

Language:PythonStargazers:0Issues:2Issues:0
Language:HTMLStargazers:0Issues:0Issues:0

sunDP

Useful tools for differential privacy

Language:PythonStargazers:0Issues:1Issues:0

TERAN

Code and Resources for the Transformer Encoder Reasoning and Alignment Network (TERAN), an extension to our previous work TERN that was accepted at ICPR 2020

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

UA-DETRAC-Annotations-PASCAL-VOC

Convert UA-DETRAC XML Annotations to PASCAL VOC Format

Stargazers:0Issues:0Issues:0

yolov3-multigpu

train pytorch-yolov3 with multi GPU

Stargazers:0Issues:0Issues:0

ZJU-nCov-Hitcarder

浙大nCov健康打卡定时自动脚本 [请勿滥用]

License:MITStargazers:0Issues:0Issues:0

ZJU-nCov-Hitcarder-Sample

Sample of https://github.com/Long0x0/ZJU-nCov-Hitcarder.

Stargazers:0Issues:1Issues:0