343 Open source projects that are alternatives of or similar to bonsai-dt

No description or website provided.

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

A notebook for machine learning interview

🙌Kart of 210+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.

Taller SparkR para las Jornadas de Usuarios de R

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

An intuitive implementation of spectral clustering on matlab

Examples how MLJAR can be used

Continuously Learning Artificial Intelligence Rules Engine (Claire) for Smart Homes

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

All content related to machine learning from my blog

Darwin C++ and Python Machine Learning Framework for Cyber Security

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

anomaly detection with anomalize and Google Trends data

A collection of Methods and Models for various architectures of Artificial Neural Networks

subsemble R package for ensemble learning on subsets of data

Implementations of normalizing flows using python and tensorflow

An intelligently dumb calculator that uses machine learning

Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.

PROSAC algorithm in python

Tensorflow implementation of the Restricted Boltzmann Machine

The simplest Perceptron you'll ever see

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Implemented a Convolutional Neural Network for end-to-end driving in a simulator using Tensorflow and Keras. The project involves training over 13,000 images in a unity3d simulator to steer the car successfully throughout the track

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

ExCon: Explanation-driven Supervised Contrastive Learning

Python Clustering Algorithms

Subjective answer evaluation using machine learning. Give your answers at this link ->

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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.).

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

Catboost Go Wrapper

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Decision Tree with PEP,MEP,EBP,CVP,REP,CCP,ECP pruning algorithms,all are implemented with Python(sklearn-decision-tree-prune included,All are finished).

经典机器学习算法的极简实现

Devs是一款轻量级的规则引擎

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

A python implementation of the CART algorithm for decision trees

Machine Learning models from scratch with a better visualisation

(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 python library to build Model Trees with Linear Models at the leaves.