Pinned Repositories
500LineorLess_CN
500 line or less 中文翻译计划。
500lines
500 Lines or Less
ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Agriculture_KnowledgeGraph
农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
AIX360
Open Source library to support interpretability and explainability of data and machine learning models
algorithm
Leetcode/剑指offer/经典算法题型
algorithm-1
algorithm-visualizer
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
alibi
Algorithms for monitoring and explaining machine learning models
Spencerai's Repositories
Spencerai/500lines
500 Lines or Less
Spencerai/ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Spencerai/Agriculture_KnowledgeGraph
农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策
Spencerai/awesome-anomaly-detection
A complete list of papers on anomaly detection.
Spencerai/awesome-knowledge-graph
整理知识图谱相关学习资料
Spencerai/awesome-knowledge-graph-1
A collection of knowledge graph papers and reading notes.
Spencerai/C-Plus-Plus
All Algorithms implemented in C++
Spencerai/charticulator
Interactive Layout-Aware Construction of Bespoke Charts
Spencerai/competitive-recsys
A collection of resources for Recommender Systems (RecSys)
Spencerai/DataSciComp
A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.
Spencerai/DESlib
A Python library for dynamic classifier and ensemble selection
Spencerai/dowhy
DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Spencerai/dtreeviz
A python library for decision tree visualization and model interpretation.
Spencerai/EasyML
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
Spencerai/EliteQuant
A list of online resources for quantitative modeling, trading, portfolio management
Spencerai/euler
A distributed graph deep learning framework.
Spencerai/GNNPapers
Must-read papers on graph neural networks (GNN)
Spencerai/kglib
Grakn Knowledge Graph Library (ML R&D)
Spencerai/KGQA_HLM
基于知识图谱的《红楼梦》人物关系可视化及问答系统
Spencerai/lc-all-solutions
My own leetcode solutions by python
Spencerai/Leetcode-3
Complete solutions to Leetcode problems; updated daily. (I'm looking for long-term contributors/partners to this repo! Send me PRs if you're interested! - 9/5/2018)
Spencerai/leetcode-4
Python & JAVA Solutions for Leetcode
Spencerai/Leetcode-Java
Leetcode刷题之旅
Spencerai/lime-interpretable-ml
An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learning algorithm - in this case a Radom Forest regressor.
Spencerai/randopt
Streamlined machine learning experiment management.
Spencerai/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
Spencerai/SysML-reading-list
Systems for ML/AI & ML/AI for Systems paper reading list: A curated reading list of computer science research for work at the intersection of machine learning and systems. PR are welcome.
Spencerai/the-craft-of-selfteaching
One has no future if one couldn't teach themself.
Spencerai/treeexplainer-study
Code and documentation for experiments in the TreeExplainer paper
Spencerai/Z_knowledge_graph
Bulding kg from 0