536 Open source projects that are alternatives of or similar to Amazon-Fine-Food-Review

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

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

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

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

Code for Tensorflow Machine Learning Cookbook

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

Machine Learning models from scratch with a better visualisation

several methods for text classification

🍊 📊 💡 Orange: Interactive data analysis

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

Misc Statistics and Machine Learning codes in R

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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 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

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Matlab library for gradient descent algorithms: Version 1.0.1

An Interactive Approach to Understanding Supervised Learning Algorithms

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

machine learning algorithm

Go Scoring API for PMML

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

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

Incogly is a video conferencing app aimed to remove any implicit bias in an interview and easing the process of remote collaboration.

Type4Py: Deep Similarity Learning-Based Type Inference for Python

Fast k-Nearest Neighbors Classifier for Large Datasets

CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.

Predicting Google’s stock price using regression

Android application which uses feature extraction algorithms and machine learning (SVM) to recognise and translate static sign language gestures.

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

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

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

Jupyter Notebooks and miscellaneous

🤖 Telegram group management bot with spam protection

K3ai-core is the core library for the GO installer. Go installer will replace the current bash installer

The not-that intelligent, but cute Artificially Intelligent bot, created when I was bored.

Sentiment Analysis & Topic Modeling with Amazon Reviews

基于新浪微博数据的情感极性分析

Interactive GUI (developed in Python) for calibration and conditional verification of numerical weather prediction model outputs.

Is This a Joke? Humor Detection in Spanish Tweets

do more with dbt. fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Hyperspectral image Target Detection based on Sparse Representation

A C++ implementation of simple k-means clustering algorithm.

Vintage guitar amp using neural networks.

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

A REST API to serve machine learning and deep learning models

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

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

SwiftUI MLKit Language Identification & Translator

This is a repository built by the community for the community.

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

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A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

A guide to getting started with Data Science and ML.

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering

Tutorial: Support Vector Machine from scratch using Python3

Dynamic Programming implemented in Rcpp. Includes example partition and out of sample fitting applications.

yet another custom data science template via cookiecutter

Implementations of machine learning algorithm by Python 3