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80 search results found
Ml From Scratch
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23,008
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Awesome Datascience
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22,459
📝 An awesome Data Science repository to learn and apply for real world problems.
Easyocr
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20,438
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Awesome Production Machine Learning
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15,750
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Ai Learn
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7,757
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Py tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Pyod
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7,751
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Datascience
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3,955
Curated list of Python resources for data science.
Machinelearning
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3,016
Machine learning resources
Papers Literature Ml Dl Rl Ai
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1,798
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Research
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1,550
novel deep learning research works with PaddlePaddle
Pycm
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1,413
Multi-class confusion matrix library in Python
Awesome Fraud Detection Papers
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1,364
A curated list of data mining papers about fraud detection.
Vvedenie Mashinnoe Obuchenie
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1,187
📝 Подборка ресурсов по машинному обучению
Graph Fraud Detection Papers
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1,148
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Awesome Fl
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1,103
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Awesome Ai Books
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1,086
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Deep_gcns_torch
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940
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Pyhealth
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825
A Deep Learning Python Toolkit for Healthcare Applications.
My Tensorflow Tutorials
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794
This repo contains all of my TensorFlow tutorials
Graph Adversarial Learning Literature
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772
A curated list of adversarial attacks and defenses papers on graph-structured data.
Awesome Ai For Time Series Papers
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627
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Awesome Deep Graph Clustering
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626
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Adbench
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609
Official Implement of "ADBench: Anomaly Detection Benchmark".
Pypots
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558
A Python toolbox/library for reality-centric machine learning/deep learning on partially-observed time series with PyTorch, including SOTA models supporting tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data. https://arxiv.org/abs/2305.18811
Amazing Feature Engineering
⭐
485
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Rmdl
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409
RMDL: Random Multimodel Deep Learning for Classification
Awesome Deep Community Detection
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397
Deep and conventional community detection related papers, implementations, datasets, and tools.
Awesome Python Data Science Books
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242
Probably the best curated list of data science books in Python
Python Dlpy
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215
The SAS Deep Learning Python (DLPy) package provides the high-level Python APIs to deep learning methods in SAS Visual Data Mining and Machine Learning. It allows users to build deep learning models using friendly Keras-like APIs.
Awesome Deep Graph Anomaly Detection
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215
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
Wekadeeplearning4j
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139
Weka package for the Deeplearning4j java library
Hefei_ecg_top1
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137
“合肥高新杯”心电人机智能大赛 —— 心电异常事件预测 TOP1 Solution
Care Gnn
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127
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Research_spatio Temporal Data Mining
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126
A collection of research on spatio-temporal data mining
Dcrn
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126
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
Books
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106
Books related to AI/ML/DL/GENAI
Bdc2019
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98
2019中国高校计算机大赛——大数据挑战赛 第三名解决方案
Protest Detection Violence Estimation
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87
Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)
Timeseries Tutorial Kdd 2022
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86
KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
Practicalmachinelearning
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79
A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source
Deep Learning For Bci
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78
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
Awesome Python Machine Learning Resources
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77
a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合
Cgnn
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75
Crystal Graph Neural Networks
Xcloud
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68
Official Code for Paper <XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service> (arXiv1912.10344)
Datamining
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65
数据挖掘开源书
Paperweeklyai
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63
📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.
Act
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59
Computational synthetic biology: Predicting DNA edits for bioengineering
A Unified Framework For Deep Attribute Graph Clustering
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53
This project is a scalable unified framework for deep graph clustering.
Coursera_ml_da_specialization
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53
Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)
Bigdataai
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46
介绍Liao Wenzhe 的一些主要代表作品,包括AIOPS,异常检测,根因分析,告警降噪,关联分析,数据安全,数据挖掘,机器 Introduce some of Liao Wenzhe's main representative works, including AIOPS, anomaly detection, root cause analysis, alarm noise reduction, correlation analysis, data security, data mining, machine learning, deep learning, text matching, public speech, way of thinking, learning methods, reading, reading, etc. Welcome star.
Iranian Developers In Telegram
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44
Curated List of Persian Groups and Channels for Iranian Developers in Telegram
Awesome Ai Tutorials Surveys
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44
A professional list of Tutorials and Surveys on DL, ML, DM, CV, NLP, Speech in top AI conferences and journals.
Rosetta_recsys2019
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42
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
Feather
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39
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Mg Tar
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36
[IEEE T-ITS] MG-TAR: Multi-view Graph Convolutional Networks for Traffic Accident Risk Prediction
Hsan
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35
[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.
Awesome Datascience Cheatsheets
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31
Collection of cheatsheets for data science, machine learning and deep learning :).
Artificial Intelligence Important Documents Collections
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31
AI technology is significant because it allows software to do human functions—understanding, reasoning, planning, communication, and perception—increasingly effectively, efficiently, and affordably.
Gradate
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30
An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted by AAAI 2023.
Nostradamus
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30
🧠 An open-source machine learning application for analyzing software defect reports extracted from bug tracking systems.
Malnet Graph
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27
A large-scale database for graph representation learning
Drugs Recommendation Using Reviews
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27
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Csmath 2021
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26
This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju
Omicselector
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26
OmicSelector - Environment, docker-based application and R package for biomarker signiture selection (feature selection) & deep learning diagnostic tool development from high-throughput high-throughput omics experiments and other multidimensional datasets. Initially developed for miRNA-seq, RNA-seq and qPCR.
Graph Reinforcement Learning Papers
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25
A curated list of graph reinforcement learning papers.
Kdd2022 Tutorial Time Series
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23
KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
Neuromantic
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22
Latest Data Science Materials
R Notes
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21
Notes for using R language to do data mining and machine learning (Chinese)
Ai Conference Info
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19
Extensive acceptance rate and information of main AI conferences
Kaggle Project List
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18
Summary of my projects on kaggle
Resolutions 2019
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16
A list of data mining and machine learning papers that I implemented in 2019.
Pydream
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15
Python Implementation of Decay Replay Mining (DREAM)
Deepdatamininglearning
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14
Data mining, machine learning, and deep learning sample code
Ml Nlp Services
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14
机器学习、深度学习、自然语言处理
Data Science
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13
A repository to showcase the upskilling of self in theoretical & applied aspects of data science during the ongoing sabbatical of 23 months(Jan. 2022 - Nov 2023*) along with hand written notes. It's an "attempt" to pursue masters in data science using Internet as an open university.
Ibm Data_science Professional Certification
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13
This repository provides an online certification program in Data Science and Machine Learning offered by IBM and Coursera. The program covers topics such as data science methodology, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. The courses are hands-on and conducted on the IBM Cloud,
Awesome Data Science
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12
Laundry List of Data Science / ML /AI resources available online
Df Tar
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11
DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior
Cic0269_natural_language_processing
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10
Notebooks Python da parte prática da disciplina "CIC0269 - Processamento de Linguagem Natural" do Departamento de Ciência da Computação da Universidade de Brasília.
Deep Learning Gene Expression
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10
Deep learning methods for feature selection in gene expression autism data.
Talks Keynotes Slides
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9
My invited Keynote/Talk at Conferences, Universities, Companies, etc.
Japan Earthquake Hotspot Detection
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9
Japan Earthquake Hotspot Detection
Kaggle Ai
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8
Categorize AI problems and record through kaggle, Google's data science website
Treegrad
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8
Liyangbit.github.io
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7
website for liyangbit
Code
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7
Some collection of codes that are used in data mining and data science related fields, developed by me
Artificial Intelligence Interview Questions
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6
According to the father of Artificial Intelligence, John McCarthy, it is “The science and engineering of making intelligent machines, especially intelligent computer programs”. Also, intelligence distinguish us from everything in the world. As it has the ability to understand, apply knowledge.
Data Mining With Python
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6
Python For Artificial Intelligence, Machine Learning and Data Mining
Icdm2023 Tutorial Time Series
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6
ICDM’23 Tutorial, “Robust Time Series Analysis and Applications: A Interdisciplinary Approach”
Wsdm Spotify Challenge 2019
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5
Sequential skip prediction using deep learning and ensembles
Tecroom
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5
技术栈在线总结文档,包含编程语言、数据结构与算法、机器学习、数据库等。
Awesome Machine Learning
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5
Learning tutorial for machine learning beginners
Cic0193_machine_learning
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5
Notebooks Python da parte prática da disciplina "CIC0193 - Fundamentos de Sistemas Inteligentes" do Departamento de Ciência da Computação da Universidade de Brasília.
Fucking Awesome Datascience
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5
📝 An awesome Data Science repository to learn and apply for real world problems. With repository stars⭐ and forks🍴
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