140 Open source projects that are alternatives of or similar to GeFs

[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”

Statistical inference on machine learning or general non-parametric models

Machine Learning University: Decision Trees and Ensemble Methods

Code used during my Chaos Engineering and Resiliency Patterns talk.

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

Ruby Scoring API for PMML

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

Benchmarks for Corruption Invariant Person Re-identification. [NeurIPS 2021 Track on Datasets and Benchmarks]

Solution of the Titanic Kaggle competition

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

Sensor data aggregation tool for any numerical sensor data. Robust and privacy-friendly.

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

R package "missRanger" for fast imputation of missing values by random forests.

bitcoin prediction algorithms

Code and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".

A tool for visualizing the structure and performance of Random Forests 🌳

Visualizes the Random Forest debug string from the MLLib in Spark using D3.js

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)

Receipt.ID is a multi-label, multi-class, hierarchical classification system implemented in a two layer feed forward network.

Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

[CVPR 2022] S-attack library. Official implementation of two papers "Vehicle trajectory prediction works, but not everywhere" and "Are socially-aware trajectory prediction models really socially-aware?".

Jupyter Notebooks and miscellaneous

Robust error-handling for Kotlin and Android

Code for NeurIPS 2019 Paper

Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

Adversarial Distributional Training (NeurIPS 2020)

Random Forests for Density Estimation in Python

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

Using LSTM network for time series forecasting

A Closer Look at Accuracy vs. Robustness

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Reachability analysis for closed-loop control systems

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

A document covering machine learning basics. 🤖📊

A Unified Framework for Random Forest Prediction Error Estimation

Go Scoring API for PMML

Online machine learning methods

A super-fast and scalable Random Forest library based on fast histogram decision tree algorithm and distributed bagging framework. It can be used for binary classification, multi-label classification, and regression tasks. This library provides both Python and command line interface to users.

Source code and dataset for the CCKS201 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"

Machine Learning algorithms coded from scratch

Predicting the winner of 2019 cricket world cup using random forest algorithm

Scripts, tools and example data for mapping wetland ecosystems using data driven R statistical methods like Random Forests and open source GIS

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

simple tutorial on Machine Learning with Scikitlearn

NIPS Adversarial Vision Challenge

This repo is intended to support replication and exploration of the analysis undertaken for our Urban Studies article "Understanding urban gentrification through Machine Learning: Predicting neighbourhood change in London".

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms