Hanbo's repositories
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
arbitrary_pu
NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
Autopilot-Notes
自动驾驶笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容。由于水平有限，文中不妥之处恳请广大读者批评指正。如有合作意向，请联系 931531133@qq.com
CS-Books-Store
你想要的计算机经典书籍，这里都有！
detectInBlur
Code for the CVPR 2021 paper "Improved Handling of Motion Blur in Online Object Detection"
earthquake_time_series_LSTM
The earthquake time-series analysis project.
faiss
A library for efficient similarity search and clustering of dense vectors.
Few_Shot_Distribution_Calibration
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
fma
FMA: A Dataset For Music Analysis
HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese).
i-melt
i-Melt is a machine learning model of the properties of aluminosilicate melts and glasses
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
mlp-mixer-pytorch
An All-MLP solution for Vision, from Google AI
nmsu_yhao_ijcai2020
This is the GitHub repository for our publication "A new attention mechanism to classify multivariate time series", by Yifan Hao and Huiping Cao, which has been accepted to be published in IJCAI 2020.
Positive-and-Unlabeled-Learning
关于PU-Learning的仓库，部分来源于原文的链接。之后会附上。
Positive-and-Unlabeled-Learning-from-Imbalanced-Data
Code for the paper named "Positive-Unlabeled Learning from Imbalanced Data" which has been accepted by IJCAI-21
PUbiasedN
PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
PUGAN
code for paper "on positive-unlabeled classification in gan"
pulearn
Positive-unlabeled learning with Python.
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
TDengine
An open-source big data platform designed and optimized for the Internet of Things (IoT).
TimeEval-algorithms
Time series anomaly detection algorithm implementations for TimeEval (Docker-based)
TS-TCC
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
ts2vg
Time series to visibility graphs.
TSCP2
Time Series Change Point Detection based on Contrastive Predictive Coding