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

[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?".

This is the official implementation for the paper 'AutoEncoder by Forest'

Jupyter Notebooks and miscellaneous

A random forest

Robust error-handling for Kotlin and Android

A curated (most recent) list of resources for Learning with Noisy Labels

Code for NeurIPS 2019 Paper

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

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

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

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

Conformalized Quantile Regression

Adversarial Distributional Training (NeurIPS 2020)

Recentrifuge: robust comparative analysis and contamination removal for metagenomics

Random Forests for Density Estimation in Python

Building Decision Trees From Scratch In Python

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

🍊 📊 💡 Orange: Interactive data analysis

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

An end-to-end machine learning and data mining framework on Hadoop

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

InfiniteBoost: building infinite ensembles with gradient descent

Using LSTM network for time series forecasting

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

A Closer Look at Accuracy vs. Robustness

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

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

Machine Learning inference engine for Microcontrollers and Embedded devices

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Reachability analysis for closed-loop control systems

A collection of research papers on decision, classification and regression trees with implementations.

(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

随机森林，Random Forest（RF）

A document covering machine learning basics. 🤖📊

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

A Unified Framework for Random Forest Prediction Error Estimation

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

Go Scoring API for PMML

Text Classification Algorithms: A Survey

Online machine learning methods

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

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.

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

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

exploratory data analysis using random forests

Machine Learning algorithms coded from scratch

I will update this repository to learn Machine learning with python with statistics content and materials

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

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

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

A curated list of data mining papers about fraud detection.

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

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

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

ML-powered Loan-Marketer Customer Filtering Engine